Creative trans-border cooperation in the field of operations research and sustainable development in civil engineering
Abstract
The paper presents an overview of the history and achievements of trans-border cooperation in the Lithuania-Germany-Poland triangle in planning instruments in Construction Management, decision-making theory, application of Operational Research, and Multiple Criteria Decision Making (MCDM) methods in Civil Engineering and sustainable development. The cooperation and results of the Colloquiums with 35 years of tradition, their multidimensional nature is underlined. The research instruments, methods, studied phenomena are reviewed and characteristic applications in engineering and economics are presented. The knowledge and combined efforts of three academic centers have created a synergy which set in motion many original methods and spectacular implementations. The Colloquium calendar and the evolution of organizational forms are presented along with the inclusion of the informal EURO Working Group on Operations Research in Sustainable Development and Civil Engineering.
Keyword : scientific cooperation, operations research, MCDM, decisions, variants, micro and macroeconomics, sustainable development, civil engineering, EURO Working Group ORSDCE, review
How to Cite
Kapliński, O., & Vilutienė, T. (2021). Creative trans-border cooperation in the field of operations research and sustainable development in civil engineering. Technological and Economic Development of Economy, 27(6), 1613-1639. https://doi.org/10.3846/tede.2021.16112
This work is licensed under a Creative Commons Attribution 4.0 International License.
References
Abu Adi, W., Hiyassat, M., & Lepkova, N. (2021). Business strategy development model for applying knowledge management in construction. Journal of Civil Engineering and Management, 27(4), 246–259. https://doi.org/10.3846/jcem.2021.14651
Al-Refaie, A., Al-Shalaldeh, H., & Lepkova, N. (2020). Proposed procedure for optimal maintenance scheduling under emergent failures. Journal of Civil Engineering and Management, 26(4), 396–409. https://doi.org/10.3846/jcem.2020.12315
Alinezhad, A., & Khalili, J. (2019). New methods and applications in Multiple Attribute Decision Making (MADM). Springer. https://doi.org/10.1007/978-3-030-15009-9
Antucheviciene, J., Kala, Z., Marzouk, M., & Vaidogas, E. R. (2015). Solving civil engineering problems by means of fuzzy and stochastic MCDM methods: Current state and future research. Mathematical Problems in Engineering, 2015, 362579. https://doi.org/10.1155/2015/362579
Antucheviciene, J., Tavana, M., Nilashi, M., & Bausys, R. (2017). Managing information uncertainty and complexity in decision-making: editorial. Complexity, 2017, 1268980. https://doi.org/10.1155/2017/1268980
Asadi, P., Rezaeian Zeidi, J., Mojibi, T., Yazdani-Chamzini, A., & Tamošaitienė, J. (2018). Project risk evaluation by using a new fuzzy model based on ELENA guideline. Journal of Civil Engineering and Management, 24(4), 284–300. https://doi.org/10.3846/jcem.2018.3070
Baas, J., Boyack, K., & Ioannidis, J. P. A. (2020). Data for “Updated science-wide author databases of standardized citation indicators.” Men-deley Data, V2. https://elsevier.digitalcommonsdata.com/datasets/btchxktzyw/2
Balali, A., Valipour, A., Antucheviciene, J., & Šaparauskas, J. (2020). Improving the results of the earned value management technique using arti-ficial neural networks in construction projects. Symmetry, 12(10), 1745. https://doi.org/10.3390/sym12101745
Baležentis, T., & Baležentis, A. (2014). A survey on development and applications of the multi-criteria decision making method MULTIMOORA. Journal of Multi-Criteria Decision Analysis, 21(3–4), 209–222. https://doi.org/10.1002/mcda.1501
Baumann, T., Dziadosz, A., Rejment, M., & Kapliński, O. (2014). Range of application and limitations of the Earned Value Methods in construc-tion project estimation. Technical Transactions-Czasopismo Techniczne, 2-B, 65–72. https://doi.org/10.4467/2353737XCT.14.113.2563
Bausys, R. (2019). Mokslinių pasiekimų puokštė. In O. Binkyte-Vėliene, A., Jursaite (Eds.), Neprarastų dienų metai. Akademikas Edmundas Kazimieras Zavadskas. II dalis. (pp. 76–86). Technika. https://doi.org/10.20334/2019-011-P
Bausys, R., & Zavadskas, E. K. (2015). Multicriteria decision making approach by VIKOR under interval neutrosophic set environment. Economic Computation and Economic Cybernetics Studies and Research (ECECSR), 49(4), 33–48.
Bausys, R., Zavadskas, E. K., & Kaklauskas, A. (2015). Application of neutrosophic set to multicriteria decision making by COPRAS. Economic Computation and Economic Cybernetics Studies and Research (ECECSR), 49(2), 91–106.
Bielskus, J., Motuziene, V., Vilutienė, T., & Indriulionis, A. (2020). Occupancy prediction using differential evolution online sequential Extreme Learning Machine model. Energies, 13(15), 4033. https://doi.org/10.3390/en13154033
Bonenberg, W., & Kapliński, O. (2018). The architect and the paradigms of sustainable development: A review of dilemmas. Procedia Engineering, 10(1), 100. https://doi.org/10.3390/su10010100
Brauers, W. K. M. (2007a). Normalisation in multiobjective optimisation: A general overview. International Journal of Management and Decision Making, 8(5–6), 461–474. https://doi.org/10.1504/IJMDM.2007.013412
Brauers, W. K. M. (2007b). What is meant by normalisation in decision making? International Journal of Management and Decision Making, 8(5–6), 445–460. https://doi.org/10.1504/IJMDM.2007.013411
Brauers, W. K. M., Zavadskas, E. K., Peldschus, F., & Turskis, Z. (2008). Multi‐objective decision‐making for road design. Transport, 23(3), 183–193. https://doi.org/10.3846/1648-4142.2008.23.183-193
Clarivate. (2020). Highly cited researchers. Web of ScienceTM. Retrieved October 8, 2021, from https://recognition.webofscience.com/awards/highly-cited/2020/
D’Amico, A., Ciulla, G., Tupenaite, L., & Kaklauskas, A. (2020). Multiple criteria assessment of methods for forecasting building thermal energy demand. Energy and Buildings, 224, 110220. https://doi.org/10.1016/j.enbuild.2020.110220
Dičiūnaitė-Rauktienė, R., Gurskienė, V., Burinskienė, M., & Malienė, V. (2018). The usage and perception of pedestrian zones in Lithuanian cities: multiple criteria and comparative analysis. Sustainability, 10(3), 818. https://doi.org/10.3390/su10030818
Dziadosz, A., Tomczyk, A., & Kapliński, O. (2015). Financial risk estimation in construction contracts. Procedia Engineering, 122, 120–128. https://doi.org/10.1016/j.proeng.2015.10.015
Erdogan, S. A., Šaparauskas, J., & Turskis, Z. (2019). A multi-criteria decision-making model to choose the best option for sustainable construc-tion management. Sustainability, 11(8), 2239. https://doi.org/10.3390/su11082239
Fiedler, K., Peldschus, F., & Zavadskas, E. K. (1986). Methoden der Bautechnologischen Entscheidung. Wissenschaftliche Berichte Der Tech-nischen Hochschule Leipzig.
Gajzler, M., & Zima, K. (2017). Evaluation of planned construction projects using fuzzy logic. International Journal of Civil Engineering, 15(4), 641–652. https://doi.org/10.1007/s40999-017-0177-8
Ghodoosi, F., Bagchi, A., Hosseini, M. R., Vilutienė, T., & Zeynalian, M. (2021). Enhancement of bid decision-making in construction projects: A reliability analysis approach. Journal of Civil Engineering and Management, 27(3), 149–161. https://doi.org/10.3846/jcem.2021.14344
Ginevičius, R. (1998). Įmonių veiklos diversifikacija. Technika.
Ginevičius, R., Krivka, A., & Simkunaite, J. (2010). Įmonės konkurencines strategijos formavimo oligopolinėje rinkoje modelis. Journal of Busi-ness Economics and Management, 11(3), 367–395. https://doi.org/10.3846/jbem.2010.18
Ginevicius, R., & Podvezko, V. (2007, May 16–18). The influence of complex evaluation methods on rating the alternative solutions of wall insula-tion. In 9th International Conference: Modern Building Materials, Structures and Techniques (Vol. 1–3, pp. 248–251).
Ginevičius, R., Podvezko, V., & Bruzge, Š. (2008). Evaluating the effect of state aid to business by multicriteria methods. Journal of Business Economics and Management, 9(3), 167–180. https://doi.org/10.3846/1611-1699.2008.9.167-180
Hafezalkotob, A., Hafezalkotob, A., Liao, H., & Herrera, F. (2019). An overview of MULTIMOORA for multi-criteria decision-making: Theory, developments, applications, and challenges. Information Fusion, 51, 145–177. https://doi.org/10.1016/j.inffus.2018.12.002
Hatefi, S. M., & Tamošaitienė, J. (2019). An integrated fuzzy DEMATEL-fuzzy ANP model for evaluating construction projects by considering interrelationships among risk factors. Journal of Civil Engineering and Management, 25(2), 114–131. https://doi.org/10.3846/jcem.2019.8280
Janusz, L., & Kapliński, O. (2006). The application of multifactor model LITCAC in the organization of assembly work of flexible corrugated steel structures. Technological and Economic Development of Economy, 12(3), 195–199. https://doi.org/10.3846/13928619.2006.9637741
Jaskowski, P., Biruk, S., & Bucon, R. (2010). Assessing contractor selection criteria weights with fuzzy AHP method application in group decision environment. Automation in Construction, 19(2), 120–126. https://doi.org/10.1016/j.autcon.2009.12.014
Juan, Y.-K., Huang, S.-J. H., & Chen, H.-T. (2014). Applying a Kano quality model for intelligent green building design strategies in Taiwan. International Journal of Strategic Property Management, 18(2), 125–137. https://doi.org/10.3846/1648715X.2014.893266
Kaklauskas, A. (2015). Biometric and Intelligent Decision Making Support. Springer. https://doi.org/10.1007/978-3-319-13659-2
Kaklauskas, A. (2016). Analysis of the life cycle of a built environment. Nova Science Publishers.
Kaklauskas, A., Abraham, A., Dzemyda, G., Raslanas, S., Seniut, M., Ubarte, I., Kurasova, O., Binkyte-Veliene, A., & Cerkauskas, J. (2020a). Emotional, affective and biometrical states analytics of a built environment. Engineering Applications of Artificial Intelligence, 91, 103621. https://doi.org/10.1016/j.engappai.2020.103621
Kaklauskas, A., Bardauskiene, D., Cerkauskiene, R., Ubarte, I., Raslanas, S., Radvile, E., Kaklauskaite, U., & Kaklauskiene, L. (2021). Emotions analysis in public spaces for urban planning. Land Use Policy, 107, 105458. https://doi.org/10.1016/j.landusepol.2021.105458
Kaklauskas, A., Bucinskas, V., & Binkyte-Veliene, A. (2020b). The VINERS neuromarketing system. 2020 IEEE 10th International Conference on Intelligent Systems (IS), 345–351. https://doi.org/10.1109/IS48319.2020.9199948
Kaklauskas, A., Bucinskas, V., Vinogradova, I., Binkyte-Veliene, A., Ubarte, I., Skirmantas, D., & Petric, L. (2019a). INVAR neuromarketing method and system. Studies in Informatics and Control, 28(3), 357–370. https://doi.org/10.24846/v28i3y201912
Kaklauskas, A., Dzitac, D., Sliogeriene, J., Lepkova, N., & Vetloviene, I. (2019b). VINERS method for the multiple criteria analysis and neuro-marketing of best places to live. International Journal of Computers, Communications and Control, 14(5), 629–646. https://doi.org/10.15837/ijccc.2019.5.3674
Kaklauskas, A., Jokubauskas, D., Cerkauskas, J., Dzemyda, G., Ubarte, I., Skirmantas, D., Podviezko, A., & Simkute, I. (2019c). Affective ana-lytics of demonstration sites. Engineering Applications of Artificial Intelligence, 81, 346–372. https://doi.org/10.1016/j.engappai.2019.03.001
Kaklauskas, A., Ubarte, I., Kalibatas, D., Lill, I., Velykorusova, A., Volginas, P., Vinogradova, I., & Milevicius, V. (2019d). A multisensory, green, and energy efficient housing neuromarketing method. Energies, 12(20), 3836. https://doi.org/10.3390/en12203836
Kaklauskas, A., Zavadskas, E. K., Schuller, B., Lepkova, N., Dzemyda, G., Sliogeriene, J., & Kurasova, O. (2020c). Customized ViNeRs method for video neuro-advertising of green housing. International Journal of Environmental Research and Public Health, 17(7), 1–28. https://doi.org/10.3390/ijerph17072244
Kapliński, O. (1978). Harmonizacja cyklicznych procesów budowlanych w ujęciu stochastycznym [Harmonization of cyclical construction pro-cesses under stochastic conditions]. Poznan University Press.
Kapliński, O. (1997). Modelling of construction processes: A managerial approach (Studia z Zakresu Inżynierii No. 43). KILiW PAN, IPPT, Warsaw.
Kapliński, O. (2008). Usefulness and credibility of scoring methods in construction industry. Journal of Civil Engineering and Management, 14(1), 21–28. https://doi.org/10.3846/1392-3730.2008.14.21-28
Kapliński, O., & Bonenberg, W. (2020). Architecture and engineering: the challenges – trends – achievements. Buildings, 10(10), 181. https://doi.org/10.3390/buildings10100181
Kapliński, O., & Miłosz, M. (1996). Reliability of complex production systems. Civil Engineering Systems, 13(1), 61–73. https://doi.org/10.1080/02630259608970186
Kapliński, O., & Peldschus, F. (2011). The problems of quantitative evaluation of socio-economic systems’ development: Review. Inzinerine ekonomika-Engineering Economics, 22(4), 345–355. https://doi.org/10.5755/j01.ee.22.4.710
Kapliński, O., Peldschus, F., Nazarko, J., Kaklauskas, A., & Baušys, R. (2019). MCDM, operational research and sustainable development in the trans-border Lithuanian-German-Polish co-operation. Engineering Management in Production and Services, 11(2), 7–18. https://doi.org/10.2478/emj-2019-0007
Kapliński, O., & Tamošaitiene, J. (2010). Game theory applications in construction engineering and management. Technological and Economic Development of Economy, 16(2), 348–363. https://doi.org/10.3846/tede.2010.22
Kapliński, O., & Thiel, T. (1995). Evaluation of multi-family housing systems in Poland. Construction Management and Economics, 13(4), 291–298. https://doi.org/10.1080/01446199500000034
Kapliński, O., & Tupenaite, L. (2011). Review of the multiple criteria decision making methods, intelligent and biometric systems applied in modern construction economics. Transformations in Business & Economics, 10(1), 166–181.
Kapliński, O., Zavadskas, E. K., Brzeziński, J., & Kaklauskas, A. (1995). Expert systems in construction industry: trends, potentials and applica-tions. Technika.
Keshavarz-Ghorabaee, M., Amiri, M., Zavadskas, E. K., Turskis, Z., & Antucheviciene, J. (2018). Simultaneous evaluation of criteria and alterna-tives (SECA) for multi-criteria decision-making. Informatica, 29(2), 265–280. https://doi.org/10.15388/Informatica.2018.167
Keshavarz Ghorabaee, M., Amiri, M., Zavadskas, E. K., & Antucheviciene, J. (2017). Supplier evaluation and selection in fuzzy environments: a review of MADM approaches. Economic Research-Ekonomska Istrazivanja, 30(1), 1073–1118. https://doi.org/10.1080/1331677X.2017.1314828
Keshavarz Ghorabaee, M., Amiri, M., Zavadskas, E. K., Turskis, Z., & Antucheviciene, J. (2018). A dynamic fuzzy approach based on the EDAS method for multi-criteria subcontractor evaluation. Information, 9(3), 68. https://doi.org/10.3390/info9030068
Keshavarz Ghorabaee, M., Zavadskas, E. K., Amiri, M., & Antucheviciene, J. (2016a). Evaluation by an area-based method of ranking interval type-2 fuzzy sets (EAMRIT-2F) for multi-criteria group decision-making. Transformations in Business & Economics, 15(3), 76–95.
Keshavarz Ghorabaee, M., Zavadskas, E. K., Amiri, M., & Antuchevičienė, J. (2016b). A new method of assessment based on fuzzy ranking and aggregated weights (AFRAW) for MCDM problems under type-2 fuzzy environment. Economic Computation and Economic Cybernetics Studies and Research (ECECSR), 50(1), 39–68.
Khalesi, H., Balali, A., Valipour, A., Antucheviciene, J., Migilinskas, D., & Zigmund, V. (2020). Application of hybrid SWARA–BIM in reducing reworks of building construction projects from the perspective of time. Sustainability, 12(21), 8927. https://doi.org/10.3390/su12218927
Krylovas, A., Kosareva, N., & Zavadskas, E. K. (2017). WEBIRA – comparative analysis of weight balancing method. International Journal of Computers, Communications & Control (IJCCC), 12(2), 238–253. https://doi.org/10.15837/ijccc.2017.2.2844
Krylovas, A., Zavadskas, E. K., Kosareva, N., & Dadelo, S. (2014). New KEMIRA method for determining criteria priority and weights in solving MCDM problem. International Journal of Information Technology & Decision Making, 13(6), 1119–1133. https://doi.org/10.1142/S0219622014500825
Lesniak, A., Plebankiewicz, E., & Zima, K. (2012). Design and build procurement system – contractor selection. Archives of Civil Engineering, 58(4), 463–476. https://doi.org/10.2478/v.10169-012-0025-9
Liao, H., Ren, R., Antucheviciene, J., Šaparauskas, J., & Al-Barakati, A. (2020). Sustainable construction supplier selection by a multiple criteria decision-making method with hesitant linguistic information. E&M Ekonomie a Management, 23(4), 119–136. https://doi.org/10.15240/tul/001/2020-4-008
Liu, N., & Xu, Z. (2021). An overview of ARAS method: theory development, application extension, and future challenge. International Journal of Intelligent Systems, 36(7), 3524–3565. https://doi.org/10.1002/int.22425
Maghsoodi, A. I., Maghsoodi, A. I., Poursoltan, P., Antuchevičienė, J., & Turskis, Z. (2019). Dam construction material selection by implementing the integrated SWARA–CODAS approach with target-based attributes. Archives of Civil and Mechanical Engineering, 19(4), 1194–1210. https://doi.org/10.1016/j.acme.2019.06.010
Maliene, V., Dixon-Gough, R., & Malys, N. (2018). Dispersion of relative importance values contributes to the ranking uncertainty: sensitivity analysis of multiple criteria decision-making methods. Applied Soft Computing Journal, 67, 286–298. https://doi.org/10.1016/j.asoc.2018.03.003
Mardani, A., Jusoh, A., Halicka, K., Ejdys, J., Magruk, A., & Ungku, U. N. (2018a). Determining the utility in management by using multi-criteria decision support tools: a review. Economic Research-Ekonomska Istrazivanja, 31(1), 1666–1716. https://doi.org/10.1080/1331677X.2018.1488600
Mardani, A., Nilashi, M., Antucheviciene, J., Tavana, M., Bausys, R., & Ibrahim, O. (2017a). Recent fuzzy generalisations of rough sets theory: A systematic review and methodological critique of the literature. Complexity, 2017, 1608147. https://doi.org/10.1155/2017/1608147
Mardani, A., Nilashi, M., Zakuan, N., Loganathan, N., Soheilirad, S., Saman, M. Z. M., & Ibrahim, O. (2017b). A systematic review and me-ta-analysis of SWARA and WASPAS methods: theory and applications with recent fuzzy developments. Applied Soft Computing, 57, 265–292. https://doi.org/10.1016/j.asoc.2017.03.045
Mardani, A., Nilashi, M., Zavadskas, E. K., Awang, S. R., Zare, H., & Jamal, N. M. (2018b). Decision making methods based on fuzzy aggrega-tion operators: three decades review from 1986 to 2017. International Journal of Information Technology & Decision Making, 17(2), 391–466. https://doi.org/10.1142/S021962201830001X
Melnikas, B. (2018). The knowledge economy and the activation of scientific and technological progress: Contemporary challenges. Ekonomika, 97(1), 7–23. https://doi.org/10.15388/Ekon.2018.1.11775
Meszek, W. (2007). Uncertainty phenomenon in property valuation. International Journal of Management and Decision Making, 8(5–6), 575–585. https://doi.org/10.1504/IJMDM.2007.013419
Miguel, B. P., Ferreira, F. A. F., Banaitis, A., Banaitienė, N., Meidutė-Kavaliauskienė, I., & Falcão, P. F. (2019). An expanded conceptualization of “Smart” cities: Adding value with fuzzy cognitive maps. E&M Ekonomie a Management, 22(1), 4–21. https://doi.org/10.15240/tul/001/2019-1-001
Mohagheghi, V., Mousavi, S. M., Antuchevičienė, J., & Mojtahedi, M. (2019). Project portfolio selection problems: a review of models, uncer-tainty approaches, solution techniques, and case studies. Technological and Economic Development of Economy, 25(6), 1380–1412. https://doi.org/10.3846/tede.2019.11410
Mohandes, S. R., Sadeghi, H., Mahdiyar, A., Durdyev, S., Banaitis, A., Yahya, K., & Ismail, S. (2020). Assessing construction labours’ safety level: A fuzzy MCDM approach. Journal of Civil Engineering and Management, 26(2), 175–188. https://doi.org/10.3846/jcem.2020.11926
Morkūnaitė, Ž., Kalibatas, D., & Kalibatienė, D. (2019). A bibliometric data analysis of multi-criteria decision making methods in heritage build-ings. Journal of Civil Engineering and Management, 25(2), 76–99. https://doi.org/10.3846/jcem.2019.8315
Mulliner, E., Malys, N., & Maliene, V. (2016). Comparative analysis of MCDM methods for the assessment of sustainable housing affordability. Omega, 59, 146–156. https://doi.org/10.1016/j.omega.2015.05.013
Mulliner, E., Smallbone, K., & Maliene, V. (2013). An assessment of sustainable housing affordability using a multiple criteria decision making method. Omega, 41(2), 270–279. https://doi.org/10.1016/j.omega.2012.05.002
Nakhaei, J., Lale Arefi, S., Bitarafan, M., & Kapliński, O. (2016). Model for rapid assessment of vulnerability of office buildings to blast using SWARA and SMART methods (a case study of Swiss Re Tower). Journal of Civil Engineering and Management, 22(6), 831–843. https://doi.org/10.3846/13923730.2016.1189457
Nazarko, J., & Chodakowska, E. (2015). Measuring productivity of construction industry in Europe with Data Envelopment Analysis. Procedia Engineering, 122, 204–212. https://doi.org/10.1016/j.proeng.2015.10.026
Nazarko, J., & Kononiuk, A. (2013). The critical analysis of scenario construction in the Polish foresight initiatives. Technological and Economic Development of Economy, 19(3), 510–532. https://doi.org/10.3846/20294913.2013.809030
Nikmehr, B., Hosseini, M. R., Martek, I., & Zavadskas, E. K. (2021). Digitalization as a atrategic means of achieving sustainable efficiencies in construction management: a critical review. Sustainability, 13(9), 5040. https://doi.org/10.3390/su13095040
Opricovic, S. (1998). Multicriteria optimization of civil engineering systems [PhD Thesis]. Faculty of Civil Engineering, University of Belgrade, Belgrade.
Ozturk, M., Durdyev, S., Aras, O. N., & Banaitis, A. (2019). Productivity as a determinant of labour wage in New Zealand’s construction sector. Technological and Economic Development of Economy, 25(5), 900–914. https://doi.org/10.3846/tede.2019.10297
Pasławski, J. (2008). Flexibility approach in construction process engineering. Technological and Economic Development of Economy, 14(4), 518–530. https://doi.org/10.3846/1392-8619.2008.14.518-530
Peldschus, F. (2008). Experience of the game theory application in construction management. Technological and Economic Development of Econ-omy, 14(4), 531–545. https://doi.org/10.3846/1392-8619.2008.14.531-545
Peldschus, F. (2009). The analysis of the quality of the results obtained with the methods of multi‐criteria decisions. Technological and Economic Development of Economy, 15(4), 580–592. https://doi.org/10.3846/1392-8619.2009.15.580-592
Peldschus, F. (2018). Recent findings from numerical analysis in multi-criteria decision making. Technological and Economic Development of Economy, 24(4), 1695–1717. https://doi.org/10.3846/20294913.2017.1356761
Peldschus, F., & Zavadskas, E. K. (2012). Equilibrium approaches for construction processes – multi-objective decision making for construction projects. Bauingenieur, 87(5), 210–215.
Pishdar, M., Ghasemzadeh, F., Antucheviciene, J., & Saparauskas, J. (2018). Internet of things and its challenges in supply chain management: a rough strength-relation analysis method. E&M Ekonomie a Management, 21(2), 208–222. https://doi.org/10.15240/tul/001/2018-2-014
Plebankiewicz, E. (2010). Simple prequalification models. Archives of Civil Engineering, 56(4), 335–351. https://doi.org/10.2478/v.10169-010-0019-4
Plebankiewicz, E., Meszek, W., Zima, K., & Wieczorek, D. (2020). Probabilistic and fuzzy approaches for estimating the life cycle costs of build-ings under conditions of exposure to risk. Sustainability, 12(1), 226. https://doi.org/10.3390/su12010226
Radziszewski, P., Nazarko, J., Vilutienė, T., Dębkowska, K., Ejdys, J., Gudanowska, A., Halicka, K., Kilon, J., Kononiuk, A., Kowalski, K. J., Król, J. B., Nazarko, Ł., & Sarnowski, M. (2016). Future trends in road pavement technologies development in the context of environmental protection. Baltic Journal of Road and Bridge Engineering, 11(2), 60–168. https://doi.org/10.3846/bjrbe.2016.19
Rasiulis, R., Ustinovichius, L., Vilutienė, T., & Popov, V. (2016). Decision model for selection of modernization measures: Public building case. Journal of Civil Engineering and Management, 22(1), 124–133. https://doi.org/10.3846/13923730.2015.1117018
Saoud, L. A., Omran, J., Hassan, B., Vilutienė, T., & Kiaulakis, A. (2017). A method to predict change propagation within building information model. Journal of Civil Engineering and Management, 23(6), 836–846. https://doi.org/10.3846/13923730.2017.1323006
Sarvari, H., Chan, D. W. M., Rakhshanifar, M., Banaitiene, N., & Banaitis, A. (2020). Evaluating the impact of building information modeling (BIM) on mass house building projects. Buildings, 10(2), 1–16. https://doi.org/10.3390/buildings10020035
Shen, K. Y., Zavadskas, E. K., & Tzeng, G. H. (2018). Updated discussions on ‘Hybrid multiple criteria decision-making methods: a review of applications for sustainability issues’. Economic Research-Ekonomska Istrazivanja, 31(1), 1437–1452. https://doi.org/10.1080/1331677X.2018.1483836
Shevchenko, G., Ustinovichius, L., & Andruškevičius, A. (2008). Multi-attribute analysis of investments risk alternatives in construction. Techno-logical and Economic Development of Economy, 14(3), 428–443. https://doi.org/10.3846/1392-8619.2008.14.428-443
Shkundalov, D., & Vilutienė, T. (2021). Bibliometric analysis of Building Information Modeling, Geographic Information Systems and Web envi-ronment integration. Automation in Construction, 128, 103757. https://doi.org/10.1016/j.autcon.2021.103757
Skibniewski, M. J. (2014). Information technology applications in construction safety assurance. Journal of Civil Engineering and Management, 20(6), 778–794. https://doi.org/10.3846/13923730.2014.987693
Smarandache, F. (1998). Neutrosophy: Neutrosophic probability, set, and logic: Analytic synthesis & synthetic analysis. American Research Press.
Stankevičienė, J., & Nikanorova, M. (2020). Eco-innovation as a pillar for sustainable development of circular economy. Business: Theory and Practice, 21(2), 531–544. https://doi.org/10.3846/btp.2020.12963
Stanujkic, D., Zavadskas, E. K., Karabasevic, D., Smarandache, F., & Turskis, Z. (2017a). The use of the pivot pairwise relative criteria importance assessment method for determining the weights of criteria. Romanian Journal of Economic Forecasting, 20(4), 116–133.
Stanujkic, D., Zavadskas, E. K., Smarandache, F., Brauers, W. K. M., & Karabasevic, D. (2017b). A neutrosophic extension of the MULTI-MOORA method. Informatica, 28(1), 181–192. https://doi.org/10.15388/Informatica.2017.125
Stefano, N. M., Casarotto Filho, N., Vergara, L. G. L., & Rocha, R. U. G. (2015). COPRAS (Complex Proportional Assessment): state of the art research and its applications. IEEE Latin America Transactions, 13(12), 3899–3906. https://doi.org/10.1109/TLA.2015.7404925
Tamosaitiene, J. (2018). Comprehensive risk assessment model in construction on agile environment. International Journal of Structural and Con-struction Engineering, 12(3), 366–370.
Tamošaitienė, J., Bartkienė, L., & Vilutienė, T. (2010). The new development trend of operational research in civil engineering and sustainable development as a result of collaboration between German‐Lithuanian‐Polish scientific triangle. Journal of Business Economics and Manage-ment, 11(2), 316–340. https://doi.org/10.3846/jbem.2010.16
Tamošaitienė, J., Khosravi, M., Cristofaro, M., Chan, D. W., & Sarvari, H. (2021a). Identification and prioritization of critical risk factors of com-mercial and recreational complex building projects: A Delphi study using the TOPSIS method. Applied Sciences, 11(17), 7906. https://doi.org/10.3390/app11177906
Tamošaitienė, J., Sarvari, H., Cristofaro, M., & Chan, D. W. M. (2021b). Identifying and prioritizing the selection criteria of appropriate repair and maintenance methods for commercial buildings. International Journal of Strategic Property Management, 25(5), 413–431. https://doi.org/10.3846/ijspm.2021.15225
Thiel, T., & Mroz, T. (2001). Application of multi-criterion decision aid method in designing heating systems for museum buildings. Informatica, 12(1), 133–146.
Turskis, Z. (2008). Multi-attribute contractors ranking method by applying ordering of feasible alternatives of solutions in terms of preferability technique. Technological and Economic Development of Economy, 14(2), 224–239. https://doi.org/10.3846/1392-8619.2008.14.224-239
Turskis, Z., Antuchevičiene, J., Keršuliene, V., & Gaidukas, G. (2019a). Hybrid group MCDM model to select the most effective alternative of the second runway of the airport. Symmetry, 11(6), 792. https://doi.org/10.3390/sym11060792
Turskis, Z., Daniūnas, A., Zavadskas, E. K., & Medzvieckas, J. (2016). Multicriteria evaluation of building foundation alternatives. Comput-er-Aided Civil and Infrastructure Engineering, 31(9), 717–729. https://doi.org/10.1111/mice.12202
Turskis, Z., Dzitac, S., Stankiuvienė, A., & Šukys, R. (2019b). A fuzzy group decision-making model for determining the most influential persons in the sustainable prevention of accidents in the construction SMEs. International Journal of Computers, Communications and Control, 14(1), 90–106. https://doi.org/10.15837/ijccc.2019.1.3364
Turskis, Z., Gajzler, M., & Dziadosz, A. (2012). Reliability, risk management, and contingency of construction processes and projects. Journal of Civil Engineering and Management, 18(2), 290–298. https://doi.org/10.3846/13923730.2012.672931
Turskis, Z., Goranin, N., Nurusheva, A., & Boranbayev, S. (2019c). A fuzzy WASPAS-based approach to determine critical information infra-structures of EU sustainable development. Sustainability, 11(2), 424. https://doi.org/10.3390/su11020424
Turskis, Z., Urbonas, K., & Daniunas, A. (2019d). A hybrid fuzzy group multi-criteria assessment of structural solutions of the symmetric frame alternatives. Symmetry, 11(2), 261. https://doi.org/10.3390/sym11020261
Turskis, Z., Zavadskas, E. K., & Peldschus, F. (2009). Multi-criteria optimization system for decision making in construction design and manage-ment. Inzinerine ekonomika-Engineering Economics, 1(61), 7–17.
Ustinovichius, L., Popov, V., Cepurnaite, J., Vilutienė, T., Samofalov, M., & Miedziałowski, C. (2018). BIM-based process management model for building design and refurbishment. Archives of Civil and Mechanical Engineering, 18(4), 1136–1149. https://doi.org/10.1016/j.acme.2018.02.004
Ustinovičius, L., & Kochin, D. (2003). Verbal analysis of the investment risk in construction. Journal of Business Economics and Management, 4(4), 228–234. https://doi.org/10.3846/16111699.2003.9636060
Ustinovičius, L., Rasiulis, R., Nazarko, L., Vilutienė, T., & Reizgevicius, M. (2015). Innovative research projects in the field of building lifecycle management. Procedia Engineering, 122, 166–171. https://doi.org/10.1016/j.proeng.2015.10.021
Vilutienė, T., & Ignatavičius, Č. (2018). Towards sustainable renovation: key performance indicators for quality monitoring. Sustainability, 10(6), 1840. https://doi.org/10.3390/su10061840
Vilutienė, T., Kalibatiene, D., Hosseini, M. R., Pellicer, E., & Zavadskas, E. K. (2019). Building information modeling (BIM) for structural engi-neering: a bibliometric analysis of the literature. Advances in Civil Engineering, 2019, 5290690. https://doi.org/10.1155/2019/5290690
Vilutienė, T., Kiaulakis, A., & Migilinskas, D. (2021). Assessing the performance of the BIM implementation process: a case study. Revista de La Construccion, 20(1), 26–36. https://doi.org/10.7764/RDLC.20.1.26
Vilutienė, T., Kumetaitis, G., Kiaulakis, A., & Kalibatas, D. (2020a). Assessing the sustainability of alternative structural solutions of a building: a case study. Buildings, 10(2), 36. https://doi.org/10.3390/buildings10020036
Vilutienė, T., Šarkienė, E., Šarka, V., & Kiaulakis, A. (2020b). BIM application in infrastructure projects. Baltic Journal of Road and Bridge Engi-neering, 15(3), 74–92. https://doi.org/10.7250/bjrbe.2020-15.485
Vilutienė, T., & Tamošaitienė, J. (2011). Significant scientific achievements – the result of 25 year of collaboration. Newsletter 2 of EWG ORSDCE.
Wagner, C., Zavadskas, E. K., & Rupprecht, L. (1985). Ergebnisse der Zusammenarbeit der Wissenschaftsbereiche Technologie der HAB und des VISI. Wissenschaftliche Zeitschrift Der HAB Weimar, 3B, 91–93.
Yazdani, M., Wen, Z., Liao, H., Banaitis, A., & Turskis, Z. (2019). A Grey Combined Compromise Solution (CoCoSo-G) method for supplier selection in construction management. Journal of Civil Engineering and Management, 25(8), 858–874. https://doi.org/10.3846/jcem.2019.11309
Zagorskas, J., & Turskis, Z. (2020). Location preferences of new pedestrian bridges based on multi-criteria decision-making and GIS-based estima-tion. The Baltic Journal of Road and Bridge Engineering, 15(2), 158–181. https://doi.org/10.7250/bjrbe.2020-15.478
Zavadskas, E. K. (1979). Osnovy optimizacii stroitel’nogo proizvodstva [Basics of optimization of construction production]. Vilnius.
Zavadskas, E. K. (1987). Kompleksnaja ocenka i vybor resursosberegajushhih reshenij v stroitel’stve [Complex estimation and choice of re-source-saving decisions in construction]. Mokslas.
Zavadskas, E. K. (1991). Sistemotehnicheskaja ocenka tehnologicheskih reshenij [System of estimation of technological solutions in building con-struction]. Ctrojizdat.
Zavadskas, E. K., Antucheviciene, J., & Turskis, Z. (2021a). Symmetric and asymmetric data in solution models. Symmetry, 13(6), 1045. https://doi.org/10.3390/sym13061045
Zavadskas, E. K., Antucheviciene, J., Turskis, Z., & Adeli, H. (2016). Hybrid multiple-criteria decision-making methods: a review of applications in engineering. Scientia Iranica, 23(1), 1–20. https://doi.org/10.24200/sci.2016.2093
Zavadskas, E. K., Antuchevičienė, J., Vilutienė, T., & Adeli, H. (2018). Sustainable decision-making in civil engineering, construction and building technology. Sustainability, 10(1), 14. https://doi.org/10.3390/su10010014
Zavadskas, E. K., Bausys, R., Kaklauskas, A., & Raslanas, S. (2019). Hedonic shopping rent valuation by one-to-one neuromarketing and neutro-sophic PROMETHEE method. Applied Soft Computing Journal, 85, 105832. https://doi.org/10.1016/j.asoc.2019.105832
Zavadskas, E. K., Baušys, R., & Lazauskas, M. (2015). Sustainable assessment of alternative sites for the construction of a waste incineration plant by applying WASPAS method with single-valued neutrosophic set. Sustainability, 7(12), 15923–15936. https://doi.org/10.3390/su71215792
Zavadskas, E. K., Kaklauskas, A., Peldschus, F., & Turskis, Z. (2007). Multi-attribute assessment of road design solutions by using the COPRAS method. The Baltic Journal of Road and Bridge Engineering, 2(4), 195–203.
Zavadskas, E. K., Kaklauskas, A., & Vilutiene, T. (2009). Multicriteria evaluation of apartment blocks maintenance contractors: Lithuanian case study. International Journal of Strategic Property Management, 13(4), 319–338. https://doi.org/10.3846/1648-715X.2009.13.319-338
Zavadskas, E. K., Peldschus, F., & Kaklauskas, A. (1994). Multiple criteria evaluation of projects in construction. Technika.
Zavadskas, E. K., & Turskis, Z. (2011). Multiple criteria decision making (MCDM) methods in economics: an overview. Technological and Eco-nomic Development of Economy, 17(2), 397–427. https://doi.org/10.3846/20294913.2011.593291
Zavadskas, E. K., Turskis, Z., & Kildienė, S. (2014). State of art surveys of overviews on MCDM/MADM methods. Technological and Economic Development of Economy, 20(1), 165–179. https://doi.org/10.3846/20294913.2014.892037
Zavadskas, E. K., Turskis, Z., Šliogerienė, J., & Vilutienė, T. (2021b). An integrated assessment of the municipal buildings’ use including sustaina-bility criteria. Sustainable Cities and Society, 67, 102708. https://doi.org/10.1016/j.scs.2021.102708
Zavadskas, E. K., Turskis, Z., & Tamošaitiene, J. (2010). Risk assessment of construction projects. Journal of Civil Engineering and Management, 16(1), 33–46. https://doi.org/10.3846/jcem.2010.03
Zavadskas, E. K., Ustinovichius, L., & Peldschus, F. (2003). Development of software for multiple criteria evaluation. Informatica, 14(2), 259–272. https://doi.org/10.15388/Informatica.2003.020
Zavadskas, E. K., Ustinovičius, L., & Turskis, Z. (2002). Levi 3.0 - multiple criteria evaluation program for construction solutions. Journal of Civil Engineering and Management, 8(3), 184–191. https://doi.org/10.1080/13923730.2002.10531275
Zhang, L., Wu, X., Ding, L., Skibniewski, M. J., & Lu, Y. (2016). BIM-based risk identification system in tunnel construction. Journal of Civil Engineering and Management, 22(4), 529–539. https://doi.org/10.3846/13923730.2015.1023348
Al-Refaie, A., Al-Shalaldeh, H., & Lepkova, N. (2020). Proposed procedure for optimal maintenance scheduling under emergent failures. Journal of Civil Engineering and Management, 26(4), 396–409. https://doi.org/10.3846/jcem.2020.12315
Alinezhad, A., & Khalili, J. (2019). New methods and applications in Multiple Attribute Decision Making (MADM). Springer. https://doi.org/10.1007/978-3-030-15009-9
Antucheviciene, J., Kala, Z., Marzouk, M., & Vaidogas, E. R. (2015). Solving civil engineering problems by means of fuzzy and stochastic MCDM methods: Current state and future research. Mathematical Problems in Engineering, 2015, 362579. https://doi.org/10.1155/2015/362579
Antucheviciene, J., Tavana, M., Nilashi, M., & Bausys, R. (2017). Managing information uncertainty and complexity in decision-making: editorial. Complexity, 2017, 1268980. https://doi.org/10.1155/2017/1268980
Asadi, P., Rezaeian Zeidi, J., Mojibi, T., Yazdani-Chamzini, A., & Tamošaitienė, J. (2018). Project risk evaluation by using a new fuzzy model based on ELENA guideline. Journal of Civil Engineering and Management, 24(4), 284–300. https://doi.org/10.3846/jcem.2018.3070
Baas, J., Boyack, K., & Ioannidis, J. P. A. (2020). Data for “Updated science-wide author databases of standardized citation indicators.” Men-deley Data, V2. https://elsevier.digitalcommonsdata.com/datasets/btchxktzyw/2
Balali, A., Valipour, A., Antucheviciene, J., & Šaparauskas, J. (2020). Improving the results of the earned value management technique using arti-ficial neural networks in construction projects. Symmetry, 12(10), 1745. https://doi.org/10.3390/sym12101745
Baležentis, T., & Baležentis, A. (2014). A survey on development and applications of the multi-criteria decision making method MULTIMOORA. Journal of Multi-Criteria Decision Analysis, 21(3–4), 209–222. https://doi.org/10.1002/mcda.1501
Baumann, T., Dziadosz, A., Rejment, M., & Kapliński, O. (2014). Range of application and limitations of the Earned Value Methods in construc-tion project estimation. Technical Transactions-Czasopismo Techniczne, 2-B, 65–72. https://doi.org/10.4467/2353737XCT.14.113.2563
Bausys, R. (2019). Mokslinių pasiekimų puokštė. In O. Binkyte-Vėliene, A., Jursaite (Eds.), Neprarastų dienų metai. Akademikas Edmundas Kazimieras Zavadskas. II dalis. (pp. 76–86). Technika. https://doi.org/10.20334/2019-011-P
Bausys, R., & Zavadskas, E. K. (2015). Multicriteria decision making approach by VIKOR under interval neutrosophic set environment. Economic Computation and Economic Cybernetics Studies and Research (ECECSR), 49(4), 33–48.
Bausys, R., Zavadskas, E. K., & Kaklauskas, A. (2015). Application of neutrosophic set to multicriteria decision making by COPRAS. Economic Computation and Economic Cybernetics Studies and Research (ECECSR), 49(2), 91–106.
Bielskus, J., Motuziene, V., Vilutienė, T., & Indriulionis, A. (2020). Occupancy prediction using differential evolution online sequential Extreme Learning Machine model. Energies, 13(15), 4033. https://doi.org/10.3390/en13154033
Bonenberg, W., & Kapliński, O. (2018). The architect and the paradigms of sustainable development: A review of dilemmas. Procedia Engineering, 10(1), 100. https://doi.org/10.3390/su10010100
Brauers, W. K. M. (2007a). Normalisation in multiobjective optimisation: A general overview. International Journal of Management and Decision Making, 8(5–6), 461–474. https://doi.org/10.1504/IJMDM.2007.013412
Brauers, W. K. M. (2007b). What is meant by normalisation in decision making? International Journal of Management and Decision Making, 8(5–6), 445–460. https://doi.org/10.1504/IJMDM.2007.013411
Brauers, W. K. M., Zavadskas, E. K., Peldschus, F., & Turskis, Z. (2008). Multi‐objective decision‐making for road design. Transport, 23(3), 183–193. https://doi.org/10.3846/1648-4142.2008.23.183-193
Clarivate. (2020). Highly cited researchers. Web of ScienceTM. Retrieved October 8, 2021, from https://recognition.webofscience.com/awards/highly-cited/2020/
D’Amico, A., Ciulla, G., Tupenaite, L., & Kaklauskas, A. (2020). Multiple criteria assessment of methods for forecasting building thermal energy demand. Energy and Buildings, 224, 110220. https://doi.org/10.1016/j.enbuild.2020.110220
Dičiūnaitė-Rauktienė, R., Gurskienė, V., Burinskienė, M., & Malienė, V. (2018). The usage and perception of pedestrian zones in Lithuanian cities: multiple criteria and comparative analysis. Sustainability, 10(3), 818. https://doi.org/10.3390/su10030818
Dziadosz, A., Tomczyk, A., & Kapliński, O. (2015). Financial risk estimation in construction contracts. Procedia Engineering, 122, 120–128. https://doi.org/10.1016/j.proeng.2015.10.015
Erdogan, S. A., Šaparauskas, J., & Turskis, Z. (2019). A multi-criteria decision-making model to choose the best option for sustainable construc-tion management. Sustainability, 11(8), 2239. https://doi.org/10.3390/su11082239
Fiedler, K., Peldschus, F., & Zavadskas, E. K. (1986). Methoden der Bautechnologischen Entscheidung. Wissenschaftliche Berichte Der Tech-nischen Hochschule Leipzig.
Gajzler, M., & Zima, K. (2017). Evaluation of planned construction projects using fuzzy logic. International Journal of Civil Engineering, 15(4), 641–652. https://doi.org/10.1007/s40999-017-0177-8
Ghodoosi, F., Bagchi, A., Hosseini, M. R., Vilutienė, T., & Zeynalian, M. (2021). Enhancement of bid decision-making in construction projects: A reliability analysis approach. Journal of Civil Engineering and Management, 27(3), 149–161. https://doi.org/10.3846/jcem.2021.14344
Ginevičius, R. (1998). Įmonių veiklos diversifikacija. Technika.
Ginevičius, R., Krivka, A., & Simkunaite, J. (2010). Įmonės konkurencines strategijos formavimo oligopolinėje rinkoje modelis. Journal of Busi-ness Economics and Management, 11(3), 367–395. https://doi.org/10.3846/jbem.2010.18
Ginevicius, R., & Podvezko, V. (2007, May 16–18). The influence of complex evaluation methods on rating the alternative solutions of wall insula-tion. In 9th International Conference: Modern Building Materials, Structures and Techniques (Vol. 1–3, pp. 248–251).
Ginevičius, R., Podvezko, V., & Bruzge, Š. (2008). Evaluating the effect of state aid to business by multicriteria methods. Journal of Business Economics and Management, 9(3), 167–180. https://doi.org/10.3846/1611-1699.2008.9.167-180
Hafezalkotob, A., Hafezalkotob, A., Liao, H., & Herrera, F. (2019). An overview of MULTIMOORA for multi-criteria decision-making: Theory, developments, applications, and challenges. Information Fusion, 51, 145–177. https://doi.org/10.1016/j.inffus.2018.12.002
Hatefi, S. M., & Tamošaitienė, J. (2019). An integrated fuzzy DEMATEL-fuzzy ANP model for evaluating construction projects by considering interrelationships among risk factors. Journal of Civil Engineering and Management, 25(2), 114–131. https://doi.org/10.3846/jcem.2019.8280
Janusz, L., & Kapliński, O. (2006). The application of multifactor model LITCAC in the organization of assembly work of flexible corrugated steel structures. Technological and Economic Development of Economy, 12(3), 195–199. https://doi.org/10.3846/13928619.2006.9637741
Jaskowski, P., Biruk, S., & Bucon, R. (2010). Assessing contractor selection criteria weights with fuzzy AHP method application in group decision environment. Automation in Construction, 19(2), 120–126. https://doi.org/10.1016/j.autcon.2009.12.014
Juan, Y.-K., Huang, S.-J. H., & Chen, H.-T. (2014). Applying a Kano quality model for intelligent green building design strategies in Taiwan. International Journal of Strategic Property Management, 18(2), 125–137. https://doi.org/10.3846/1648715X.2014.893266
Kaklauskas, A. (2015). Biometric and Intelligent Decision Making Support. Springer. https://doi.org/10.1007/978-3-319-13659-2
Kaklauskas, A. (2016). Analysis of the life cycle of a built environment. Nova Science Publishers.
Kaklauskas, A., Abraham, A., Dzemyda, G., Raslanas, S., Seniut, M., Ubarte, I., Kurasova, O., Binkyte-Veliene, A., & Cerkauskas, J. (2020a). Emotional, affective and biometrical states analytics of a built environment. Engineering Applications of Artificial Intelligence, 91, 103621. https://doi.org/10.1016/j.engappai.2020.103621
Kaklauskas, A., Bardauskiene, D., Cerkauskiene, R., Ubarte, I., Raslanas, S., Radvile, E., Kaklauskaite, U., & Kaklauskiene, L. (2021). Emotions analysis in public spaces for urban planning. Land Use Policy, 107, 105458. https://doi.org/10.1016/j.landusepol.2021.105458
Kaklauskas, A., Bucinskas, V., & Binkyte-Veliene, A. (2020b). The VINERS neuromarketing system. 2020 IEEE 10th International Conference on Intelligent Systems (IS), 345–351. https://doi.org/10.1109/IS48319.2020.9199948
Kaklauskas, A., Bucinskas, V., Vinogradova, I., Binkyte-Veliene, A., Ubarte, I., Skirmantas, D., & Petric, L. (2019a). INVAR neuromarketing method and system. Studies in Informatics and Control, 28(3), 357–370. https://doi.org/10.24846/v28i3y201912
Kaklauskas, A., Dzitac, D., Sliogeriene, J., Lepkova, N., & Vetloviene, I. (2019b). VINERS method for the multiple criteria analysis and neuro-marketing of best places to live. International Journal of Computers, Communications and Control, 14(5), 629–646. https://doi.org/10.15837/ijccc.2019.5.3674
Kaklauskas, A., Jokubauskas, D., Cerkauskas, J., Dzemyda, G., Ubarte, I., Skirmantas, D., Podviezko, A., & Simkute, I. (2019c). Affective ana-lytics of demonstration sites. Engineering Applications of Artificial Intelligence, 81, 346–372. https://doi.org/10.1016/j.engappai.2019.03.001
Kaklauskas, A., Ubarte, I., Kalibatas, D., Lill, I., Velykorusova, A., Volginas, P., Vinogradova, I., & Milevicius, V. (2019d). A multisensory, green, and energy efficient housing neuromarketing method. Energies, 12(20), 3836. https://doi.org/10.3390/en12203836
Kaklauskas, A., Zavadskas, E. K., Schuller, B., Lepkova, N., Dzemyda, G., Sliogeriene, J., & Kurasova, O. (2020c). Customized ViNeRs method for video neuro-advertising of green housing. International Journal of Environmental Research and Public Health, 17(7), 1–28. https://doi.org/10.3390/ijerph17072244
Kapliński, O. (1978). Harmonizacja cyklicznych procesów budowlanych w ujęciu stochastycznym [Harmonization of cyclical construction pro-cesses under stochastic conditions]. Poznan University Press.
Kapliński, O. (1997). Modelling of construction processes: A managerial approach (Studia z Zakresu Inżynierii No. 43). KILiW PAN, IPPT, Warsaw.
Kapliński, O. (2008). Usefulness and credibility of scoring methods in construction industry. Journal of Civil Engineering and Management, 14(1), 21–28. https://doi.org/10.3846/1392-3730.2008.14.21-28
Kapliński, O., & Bonenberg, W. (2020). Architecture and engineering: the challenges – trends – achievements. Buildings, 10(10), 181. https://doi.org/10.3390/buildings10100181
Kapliński, O., & Miłosz, M. (1996). Reliability of complex production systems. Civil Engineering Systems, 13(1), 61–73. https://doi.org/10.1080/02630259608970186
Kapliński, O., & Peldschus, F. (2011). The problems of quantitative evaluation of socio-economic systems’ development: Review. Inzinerine ekonomika-Engineering Economics, 22(4), 345–355. https://doi.org/10.5755/j01.ee.22.4.710
Kapliński, O., Peldschus, F., Nazarko, J., Kaklauskas, A., & Baušys, R. (2019). MCDM, operational research and sustainable development in the trans-border Lithuanian-German-Polish co-operation. Engineering Management in Production and Services, 11(2), 7–18. https://doi.org/10.2478/emj-2019-0007
Kapliński, O., & Tamošaitiene, J. (2010). Game theory applications in construction engineering and management. Technological and Economic Development of Economy, 16(2), 348–363. https://doi.org/10.3846/tede.2010.22
Kapliński, O., & Thiel, T. (1995). Evaluation of multi-family housing systems in Poland. Construction Management and Economics, 13(4), 291–298. https://doi.org/10.1080/01446199500000034
Kapliński, O., & Tupenaite, L. (2011). Review of the multiple criteria decision making methods, intelligent and biometric systems applied in modern construction economics. Transformations in Business & Economics, 10(1), 166–181.
Kapliński, O., Zavadskas, E. K., Brzeziński, J., & Kaklauskas, A. (1995). Expert systems in construction industry: trends, potentials and applica-tions. Technika.
Keshavarz-Ghorabaee, M., Amiri, M., Zavadskas, E. K., Turskis, Z., & Antucheviciene, J. (2018). Simultaneous evaluation of criteria and alterna-tives (SECA) for multi-criteria decision-making. Informatica, 29(2), 265–280. https://doi.org/10.15388/Informatica.2018.167
Keshavarz Ghorabaee, M., Amiri, M., Zavadskas, E. K., & Antucheviciene, J. (2017). Supplier evaluation and selection in fuzzy environments: a review of MADM approaches. Economic Research-Ekonomska Istrazivanja, 30(1), 1073–1118. https://doi.org/10.1080/1331677X.2017.1314828
Keshavarz Ghorabaee, M., Amiri, M., Zavadskas, E. K., Turskis, Z., & Antucheviciene, J. (2018). A dynamic fuzzy approach based on the EDAS method for multi-criteria subcontractor evaluation. Information, 9(3), 68. https://doi.org/10.3390/info9030068
Keshavarz Ghorabaee, M., Zavadskas, E. K., Amiri, M., & Antucheviciene, J. (2016a). Evaluation by an area-based method of ranking interval type-2 fuzzy sets (EAMRIT-2F) for multi-criteria group decision-making. Transformations in Business & Economics, 15(3), 76–95.
Keshavarz Ghorabaee, M., Zavadskas, E. K., Amiri, M., & Antuchevičienė, J. (2016b). A new method of assessment based on fuzzy ranking and aggregated weights (AFRAW) for MCDM problems under type-2 fuzzy environment. Economic Computation and Economic Cybernetics Studies and Research (ECECSR), 50(1), 39–68.
Khalesi, H., Balali, A., Valipour, A., Antucheviciene, J., Migilinskas, D., & Zigmund, V. (2020). Application of hybrid SWARA–BIM in reducing reworks of building construction projects from the perspective of time. Sustainability, 12(21), 8927. https://doi.org/10.3390/su12218927
Krylovas, A., Kosareva, N., & Zavadskas, E. K. (2017). WEBIRA – comparative analysis of weight balancing method. International Journal of Computers, Communications & Control (IJCCC), 12(2), 238–253. https://doi.org/10.15837/ijccc.2017.2.2844
Krylovas, A., Zavadskas, E. K., Kosareva, N., & Dadelo, S. (2014). New KEMIRA method for determining criteria priority and weights in solving MCDM problem. International Journal of Information Technology & Decision Making, 13(6), 1119–1133. https://doi.org/10.1142/S0219622014500825
Lesniak, A., Plebankiewicz, E., & Zima, K. (2012). Design and build procurement system – contractor selection. Archives of Civil Engineering, 58(4), 463–476. https://doi.org/10.2478/v.10169-012-0025-9
Liao, H., Ren, R., Antucheviciene, J., Šaparauskas, J., & Al-Barakati, A. (2020). Sustainable construction supplier selection by a multiple criteria decision-making method with hesitant linguistic information. E&M Ekonomie a Management, 23(4), 119–136. https://doi.org/10.15240/tul/001/2020-4-008
Liu, N., & Xu, Z. (2021). An overview of ARAS method: theory development, application extension, and future challenge. International Journal of Intelligent Systems, 36(7), 3524–3565. https://doi.org/10.1002/int.22425
Maghsoodi, A. I., Maghsoodi, A. I., Poursoltan, P., Antuchevičienė, J., & Turskis, Z. (2019). Dam construction material selection by implementing the integrated SWARA–CODAS approach with target-based attributes. Archives of Civil and Mechanical Engineering, 19(4), 1194–1210. https://doi.org/10.1016/j.acme.2019.06.010
Maliene, V., Dixon-Gough, R., & Malys, N. (2018). Dispersion of relative importance values contributes to the ranking uncertainty: sensitivity analysis of multiple criteria decision-making methods. Applied Soft Computing Journal, 67, 286–298. https://doi.org/10.1016/j.asoc.2018.03.003
Mardani, A., Jusoh, A., Halicka, K., Ejdys, J., Magruk, A., & Ungku, U. N. (2018a). Determining the utility in management by using multi-criteria decision support tools: a review. Economic Research-Ekonomska Istrazivanja, 31(1), 1666–1716. https://doi.org/10.1080/1331677X.2018.1488600
Mardani, A., Nilashi, M., Antucheviciene, J., Tavana, M., Bausys, R., & Ibrahim, O. (2017a). Recent fuzzy generalisations of rough sets theory: A systematic review and methodological critique of the literature. Complexity, 2017, 1608147. https://doi.org/10.1155/2017/1608147
Mardani, A., Nilashi, M., Zakuan, N., Loganathan, N., Soheilirad, S., Saman, M. Z. M., & Ibrahim, O. (2017b). A systematic review and me-ta-analysis of SWARA and WASPAS methods: theory and applications with recent fuzzy developments. Applied Soft Computing, 57, 265–292. https://doi.org/10.1016/j.asoc.2017.03.045
Mardani, A., Nilashi, M., Zavadskas, E. K., Awang, S. R., Zare, H., & Jamal, N. M. (2018b). Decision making methods based on fuzzy aggrega-tion operators: three decades review from 1986 to 2017. International Journal of Information Technology & Decision Making, 17(2), 391–466. https://doi.org/10.1142/S021962201830001X
Melnikas, B. (2018). The knowledge economy and the activation of scientific and technological progress: Contemporary challenges. Ekonomika, 97(1), 7–23. https://doi.org/10.15388/Ekon.2018.1.11775
Meszek, W. (2007). Uncertainty phenomenon in property valuation. International Journal of Management and Decision Making, 8(5–6), 575–585. https://doi.org/10.1504/IJMDM.2007.013419
Miguel, B. P., Ferreira, F. A. F., Banaitis, A., Banaitienė, N., Meidutė-Kavaliauskienė, I., & Falcão, P. F. (2019). An expanded conceptualization of “Smart” cities: Adding value with fuzzy cognitive maps. E&M Ekonomie a Management, 22(1), 4–21. https://doi.org/10.15240/tul/001/2019-1-001
Mohagheghi, V., Mousavi, S. M., Antuchevičienė, J., & Mojtahedi, M. (2019). Project portfolio selection problems: a review of models, uncer-tainty approaches, solution techniques, and case studies. Technological and Economic Development of Economy, 25(6), 1380–1412. https://doi.org/10.3846/tede.2019.11410
Mohandes, S. R., Sadeghi, H., Mahdiyar, A., Durdyev, S., Banaitis, A., Yahya, K., & Ismail, S. (2020). Assessing construction labours’ safety level: A fuzzy MCDM approach. Journal of Civil Engineering and Management, 26(2), 175–188. https://doi.org/10.3846/jcem.2020.11926
Morkūnaitė, Ž., Kalibatas, D., & Kalibatienė, D. (2019). A bibliometric data analysis of multi-criteria decision making methods in heritage build-ings. Journal of Civil Engineering and Management, 25(2), 76–99. https://doi.org/10.3846/jcem.2019.8315
Mulliner, E., Malys, N., & Maliene, V. (2016). Comparative analysis of MCDM methods for the assessment of sustainable housing affordability. Omega, 59, 146–156. https://doi.org/10.1016/j.omega.2015.05.013
Mulliner, E., Smallbone, K., & Maliene, V. (2013). An assessment of sustainable housing affordability using a multiple criteria decision making method. Omega, 41(2), 270–279. https://doi.org/10.1016/j.omega.2012.05.002
Nakhaei, J., Lale Arefi, S., Bitarafan, M., & Kapliński, O. (2016). Model for rapid assessment of vulnerability of office buildings to blast using SWARA and SMART methods (a case study of Swiss Re Tower). Journal of Civil Engineering and Management, 22(6), 831–843. https://doi.org/10.3846/13923730.2016.1189457
Nazarko, J., & Chodakowska, E. (2015). Measuring productivity of construction industry in Europe with Data Envelopment Analysis. Procedia Engineering, 122, 204–212. https://doi.org/10.1016/j.proeng.2015.10.026
Nazarko, J., & Kononiuk, A. (2013). The critical analysis of scenario construction in the Polish foresight initiatives. Technological and Economic Development of Economy, 19(3), 510–532. https://doi.org/10.3846/20294913.2013.809030
Nikmehr, B., Hosseini, M. R., Martek, I., & Zavadskas, E. K. (2021). Digitalization as a atrategic means of achieving sustainable efficiencies in construction management: a critical review. Sustainability, 13(9), 5040. https://doi.org/10.3390/su13095040
Opricovic, S. (1998). Multicriteria optimization of civil engineering systems [PhD Thesis]. Faculty of Civil Engineering, University of Belgrade, Belgrade.
Ozturk, M., Durdyev, S., Aras, O. N., & Banaitis, A. (2019). Productivity as a determinant of labour wage in New Zealand’s construction sector. Technological and Economic Development of Economy, 25(5), 900–914. https://doi.org/10.3846/tede.2019.10297
Pasławski, J. (2008). Flexibility approach in construction process engineering. Technological and Economic Development of Economy, 14(4), 518–530. https://doi.org/10.3846/1392-8619.2008.14.518-530
Peldschus, F. (2008). Experience of the game theory application in construction management. Technological and Economic Development of Econ-omy, 14(4), 531–545. https://doi.org/10.3846/1392-8619.2008.14.531-545
Peldschus, F. (2009). The analysis of the quality of the results obtained with the methods of multi‐criteria decisions. Technological and Economic Development of Economy, 15(4), 580–592. https://doi.org/10.3846/1392-8619.2009.15.580-592
Peldschus, F. (2018). Recent findings from numerical analysis in multi-criteria decision making. Technological and Economic Development of Economy, 24(4), 1695–1717. https://doi.org/10.3846/20294913.2017.1356761
Peldschus, F., & Zavadskas, E. K. (2012). Equilibrium approaches for construction processes – multi-objective decision making for construction projects. Bauingenieur, 87(5), 210–215.
Pishdar, M., Ghasemzadeh, F., Antucheviciene, J., & Saparauskas, J. (2018). Internet of things and its challenges in supply chain management: a rough strength-relation analysis method. E&M Ekonomie a Management, 21(2), 208–222. https://doi.org/10.15240/tul/001/2018-2-014
Plebankiewicz, E. (2010). Simple prequalification models. Archives of Civil Engineering, 56(4), 335–351. https://doi.org/10.2478/v.10169-010-0019-4
Plebankiewicz, E., Meszek, W., Zima, K., & Wieczorek, D. (2020). Probabilistic and fuzzy approaches for estimating the life cycle costs of build-ings under conditions of exposure to risk. Sustainability, 12(1), 226. https://doi.org/10.3390/su12010226
Radziszewski, P., Nazarko, J., Vilutienė, T., Dębkowska, K., Ejdys, J., Gudanowska, A., Halicka, K., Kilon, J., Kononiuk, A., Kowalski, K. J., Król, J. B., Nazarko, Ł., & Sarnowski, M. (2016). Future trends in road pavement technologies development in the context of environmental protection. Baltic Journal of Road and Bridge Engineering, 11(2), 60–168. https://doi.org/10.3846/bjrbe.2016.19
Rasiulis, R., Ustinovichius, L., Vilutienė, T., & Popov, V. (2016). Decision model for selection of modernization measures: Public building case. Journal of Civil Engineering and Management, 22(1), 124–133. https://doi.org/10.3846/13923730.2015.1117018
Saoud, L. A., Omran, J., Hassan, B., Vilutienė, T., & Kiaulakis, A. (2017). A method to predict change propagation within building information model. Journal of Civil Engineering and Management, 23(6), 836–846. https://doi.org/10.3846/13923730.2017.1323006
Sarvari, H., Chan, D. W. M., Rakhshanifar, M., Banaitiene, N., & Banaitis, A. (2020). Evaluating the impact of building information modeling (BIM) on mass house building projects. Buildings, 10(2), 1–16. https://doi.org/10.3390/buildings10020035
Shen, K. Y., Zavadskas, E. K., & Tzeng, G. H. (2018). Updated discussions on ‘Hybrid multiple criteria decision-making methods: a review of applications for sustainability issues’. Economic Research-Ekonomska Istrazivanja, 31(1), 1437–1452. https://doi.org/10.1080/1331677X.2018.1483836
Shevchenko, G., Ustinovichius, L., & Andruškevičius, A. (2008). Multi-attribute analysis of investments risk alternatives in construction. Techno-logical and Economic Development of Economy, 14(3), 428–443. https://doi.org/10.3846/1392-8619.2008.14.428-443
Shkundalov, D., & Vilutienė, T. (2021). Bibliometric analysis of Building Information Modeling, Geographic Information Systems and Web envi-ronment integration. Automation in Construction, 128, 103757. https://doi.org/10.1016/j.autcon.2021.103757
Skibniewski, M. J. (2014). Information technology applications in construction safety assurance. Journal of Civil Engineering and Management, 20(6), 778–794. https://doi.org/10.3846/13923730.2014.987693
Smarandache, F. (1998). Neutrosophy: Neutrosophic probability, set, and logic: Analytic synthesis & synthetic analysis. American Research Press.
Stankevičienė, J., & Nikanorova, M. (2020). Eco-innovation as a pillar for sustainable development of circular economy. Business: Theory and Practice, 21(2), 531–544. https://doi.org/10.3846/btp.2020.12963
Stanujkic, D., Zavadskas, E. K., Karabasevic, D., Smarandache, F., & Turskis, Z. (2017a). The use of the pivot pairwise relative criteria importance assessment method for determining the weights of criteria. Romanian Journal of Economic Forecasting, 20(4), 116–133.
Stanujkic, D., Zavadskas, E. K., Smarandache, F., Brauers, W. K. M., & Karabasevic, D. (2017b). A neutrosophic extension of the MULTI-MOORA method. Informatica, 28(1), 181–192. https://doi.org/10.15388/Informatica.2017.125
Stefano, N. M., Casarotto Filho, N., Vergara, L. G. L., & Rocha, R. U. G. (2015). COPRAS (Complex Proportional Assessment): state of the art research and its applications. IEEE Latin America Transactions, 13(12), 3899–3906. https://doi.org/10.1109/TLA.2015.7404925
Tamosaitiene, J. (2018). Comprehensive risk assessment model in construction on agile environment. International Journal of Structural and Con-struction Engineering, 12(3), 366–370.
Tamošaitienė, J., Bartkienė, L., & Vilutienė, T. (2010). The new development trend of operational research in civil engineering and sustainable development as a result of collaboration between German‐Lithuanian‐Polish scientific triangle. Journal of Business Economics and Manage-ment, 11(2), 316–340. https://doi.org/10.3846/jbem.2010.16
Tamošaitienė, J., Khosravi, M., Cristofaro, M., Chan, D. W., & Sarvari, H. (2021a). Identification and prioritization of critical risk factors of com-mercial and recreational complex building projects: A Delphi study using the TOPSIS method. Applied Sciences, 11(17), 7906. https://doi.org/10.3390/app11177906
Tamošaitienė, J., Sarvari, H., Cristofaro, M., & Chan, D. W. M. (2021b). Identifying and prioritizing the selection criteria of appropriate repair and maintenance methods for commercial buildings. International Journal of Strategic Property Management, 25(5), 413–431. https://doi.org/10.3846/ijspm.2021.15225
Thiel, T., & Mroz, T. (2001). Application of multi-criterion decision aid method in designing heating systems for museum buildings. Informatica, 12(1), 133–146.
Turskis, Z. (2008). Multi-attribute contractors ranking method by applying ordering of feasible alternatives of solutions in terms of preferability technique. Technological and Economic Development of Economy, 14(2), 224–239. https://doi.org/10.3846/1392-8619.2008.14.224-239
Turskis, Z., Antuchevičiene, J., Keršuliene, V., & Gaidukas, G. (2019a). Hybrid group MCDM model to select the most effective alternative of the second runway of the airport. Symmetry, 11(6), 792. https://doi.org/10.3390/sym11060792
Turskis, Z., Daniūnas, A., Zavadskas, E. K., & Medzvieckas, J. (2016). Multicriteria evaluation of building foundation alternatives. Comput-er-Aided Civil and Infrastructure Engineering, 31(9), 717–729. https://doi.org/10.1111/mice.12202
Turskis, Z., Dzitac, S., Stankiuvienė, A., & Šukys, R. (2019b). A fuzzy group decision-making model for determining the most influential persons in the sustainable prevention of accidents in the construction SMEs. International Journal of Computers, Communications and Control, 14(1), 90–106. https://doi.org/10.15837/ijccc.2019.1.3364
Turskis, Z., Gajzler, M., & Dziadosz, A. (2012). Reliability, risk management, and contingency of construction processes and projects. Journal of Civil Engineering and Management, 18(2), 290–298. https://doi.org/10.3846/13923730.2012.672931
Turskis, Z., Goranin, N., Nurusheva, A., & Boranbayev, S. (2019c). A fuzzy WASPAS-based approach to determine critical information infra-structures of EU sustainable development. Sustainability, 11(2), 424. https://doi.org/10.3390/su11020424
Turskis, Z., Urbonas, K., & Daniunas, A. (2019d). A hybrid fuzzy group multi-criteria assessment of structural solutions of the symmetric frame alternatives. Symmetry, 11(2), 261. https://doi.org/10.3390/sym11020261
Turskis, Z., Zavadskas, E. K., & Peldschus, F. (2009). Multi-criteria optimization system for decision making in construction design and manage-ment. Inzinerine ekonomika-Engineering Economics, 1(61), 7–17.
Ustinovichius, L., Popov, V., Cepurnaite, J., Vilutienė, T., Samofalov, M., & Miedziałowski, C. (2018). BIM-based process management model for building design and refurbishment. Archives of Civil and Mechanical Engineering, 18(4), 1136–1149. https://doi.org/10.1016/j.acme.2018.02.004
Ustinovičius, L., & Kochin, D. (2003). Verbal analysis of the investment risk in construction. Journal of Business Economics and Management, 4(4), 228–234. https://doi.org/10.3846/16111699.2003.9636060
Ustinovičius, L., Rasiulis, R., Nazarko, L., Vilutienė, T., & Reizgevicius, M. (2015). Innovative research projects in the field of building lifecycle management. Procedia Engineering, 122, 166–171. https://doi.org/10.1016/j.proeng.2015.10.021
Vilutienė, T., & Ignatavičius, Č. (2018). Towards sustainable renovation: key performance indicators for quality monitoring. Sustainability, 10(6), 1840. https://doi.org/10.3390/su10061840
Vilutienė, T., Kalibatiene, D., Hosseini, M. R., Pellicer, E., & Zavadskas, E. K. (2019). Building information modeling (BIM) for structural engi-neering: a bibliometric analysis of the literature. Advances in Civil Engineering, 2019, 5290690. https://doi.org/10.1155/2019/5290690
Vilutienė, T., Kiaulakis, A., & Migilinskas, D. (2021). Assessing the performance of the BIM implementation process: a case study. Revista de La Construccion, 20(1), 26–36. https://doi.org/10.7764/RDLC.20.1.26
Vilutienė, T., Kumetaitis, G., Kiaulakis, A., & Kalibatas, D. (2020a). Assessing the sustainability of alternative structural solutions of a building: a case study. Buildings, 10(2), 36. https://doi.org/10.3390/buildings10020036
Vilutienė, T., Šarkienė, E., Šarka, V., & Kiaulakis, A. (2020b). BIM application in infrastructure projects. Baltic Journal of Road and Bridge Engi-neering, 15(3), 74–92. https://doi.org/10.7250/bjrbe.2020-15.485
Vilutienė, T., & Tamošaitienė, J. (2011). Significant scientific achievements – the result of 25 year of collaboration. Newsletter 2 of EWG ORSDCE.
Wagner, C., Zavadskas, E. K., & Rupprecht, L. (1985). Ergebnisse der Zusammenarbeit der Wissenschaftsbereiche Technologie der HAB und des VISI. Wissenschaftliche Zeitschrift Der HAB Weimar, 3B, 91–93.
Yazdani, M., Wen, Z., Liao, H., Banaitis, A., & Turskis, Z. (2019). A Grey Combined Compromise Solution (CoCoSo-G) method for supplier selection in construction management. Journal of Civil Engineering and Management, 25(8), 858–874. https://doi.org/10.3846/jcem.2019.11309
Zagorskas, J., & Turskis, Z. (2020). Location preferences of new pedestrian bridges based on multi-criteria decision-making and GIS-based estima-tion. The Baltic Journal of Road and Bridge Engineering, 15(2), 158–181. https://doi.org/10.7250/bjrbe.2020-15.478
Zavadskas, E. K. (1979). Osnovy optimizacii stroitel’nogo proizvodstva [Basics of optimization of construction production]. Vilnius.
Zavadskas, E. K. (1987). Kompleksnaja ocenka i vybor resursosberegajushhih reshenij v stroitel’stve [Complex estimation and choice of re-source-saving decisions in construction]. Mokslas.
Zavadskas, E. K. (1991). Sistemotehnicheskaja ocenka tehnologicheskih reshenij [System of estimation of technological solutions in building con-struction]. Ctrojizdat.
Zavadskas, E. K., Antucheviciene, J., & Turskis, Z. (2021a). Symmetric and asymmetric data in solution models. Symmetry, 13(6), 1045. https://doi.org/10.3390/sym13061045
Zavadskas, E. K., Antucheviciene, J., Turskis, Z., & Adeli, H. (2016). Hybrid multiple-criteria decision-making methods: a review of applications in engineering. Scientia Iranica, 23(1), 1–20. https://doi.org/10.24200/sci.2016.2093
Zavadskas, E. K., Antuchevičienė, J., Vilutienė, T., & Adeli, H. (2018). Sustainable decision-making in civil engineering, construction and building technology. Sustainability, 10(1), 14. https://doi.org/10.3390/su10010014
Zavadskas, E. K., Bausys, R., Kaklauskas, A., & Raslanas, S. (2019). Hedonic shopping rent valuation by one-to-one neuromarketing and neutro-sophic PROMETHEE method. Applied Soft Computing Journal, 85, 105832. https://doi.org/10.1016/j.asoc.2019.105832
Zavadskas, E. K., Baušys, R., & Lazauskas, M. (2015). Sustainable assessment of alternative sites for the construction of a waste incineration plant by applying WASPAS method with single-valued neutrosophic set. Sustainability, 7(12), 15923–15936. https://doi.org/10.3390/su71215792
Zavadskas, E. K., Kaklauskas, A., Peldschus, F., & Turskis, Z. (2007). Multi-attribute assessment of road design solutions by using the COPRAS method. The Baltic Journal of Road and Bridge Engineering, 2(4), 195–203.
Zavadskas, E. K., Kaklauskas, A., & Vilutiene, T. (2009). Multicriteria evaluation of apartment blocks maintenance contractors: Lithuanian case study. International Journal of Strategic Property Management, 13(4), 319–338. https://doi.org/10.3846/1648-715X.2009.13.319-338
Zavadskas, E. K., Peldschus, F., & Kaklauskas, A. (1994). Multiple criteria evaluation of projects in construction. Technika.
Zavadskas, E. K., & Turskis, Z. (2011). Multiple criteria decision making (MCDM) methods in economics: an overview. Technological and Eco-nomic Development of Economy, 17(2), 397–427. https://doi.org/10.3846/20294913.2011.593291
Zavadskas, E. K., Turskis, Z., & Kildienė, S. (2014). State of art surveys of overviews on MCDM/MADM methods. Technological and Economic Development of Economy, 20(1), 165–179. https://doi.org/10.3846/20294913.2014.892037
Zavadskas, E. K., Turskis, Z., Šliogerienė, J., & Vilutienė, T. (2021b). An integrated assessment of the municipal buildings’ use including sustaina-bility criteria. Sustainable Cities and Society, 67, 102708. https://doi.org/10.1016/j.scs.2021.102708
Zavadskas, E. K., Turskis, Z., & Tamošaitiene, J. (2010). Risk assessment of construction projects. Journal of Civil Engineering and Management, 16(1), 33–46. https://doi.org/10.3846/jcem.2010.03
Zavadskas, E. K., Ustinovichius, L., & Peldschus, F. (2003). Development of software for multiple criteria evaluation. Informatica, 14(2), 259–272. https://doi.org/10.15388/Informatica.2003.020
Zavadskas, E. K., Ustinovičius, L., & Turskis, Z. (2002). Levi 3.0 - multiple criteria evaluation program for construction solutions. Journal of Civil Engineering and Management, 8(3), 184–191. https://doi.org/10.1080/13923730.2002.10531275
Zhang, L., Wu, X., Ding, L., Skibniewski, M. J., & Lu, Y. (2016). BIM-based risk identification system in tunnel construction. Journal of Civil Engineering and Management, 22(4), 529–539. https://doi.org/10.3846/13923730.2015.1023348