Performance evaluation model of Romanian manufacturing listed companies by fuzzy AHP and TOPSIS
Abstract
We are interested in the hierarchy of the main Romanian companies in the manufacturing industry by considering eight financial and seven non-financial indicators. Thirty three listed companies, that are non-financial institutions, were selected for the study and in order to control the reliability of the data we used the Bucharest Stock Exchange database, official data published by the Romanian Ministry of Public Finance, and the annual reports released by the companies on their websites, collecting information for the years 2011–2015. Because the human thinking is subjective and ambiguous we prefer linguistic variables, converted afterwards in triangular fuzzy numbers, to represent the importance of indicators. Our method involves the calculation of the weights of individual or categories of indicators based on Fuzzy Analytic Hierarchy Process. Then, the level of performance for each company, separately for financial, non-financial and all indicators is obtained by TOPSIS method. We deduce an objective hierarchy of the companies on a rigorous basis, which is however dependent from the choice of indicators and the conversion scale of linguistic variables into triangular fuzzy numbers. Also, following the obtained results we concluded that the overall performance of companies for the analyzed period is significantly influenced by non-financial indicators.
First published online 16 April 2020
Keyword : manufacturing company, indicator, performance, evaluation, fuzzy sets, FAHP, TOPSIS, hierarchy
How to Cite
Ban, A. I. ., Ban, O. I. ., Bogdan, V. ., Sabau Popa, D. C. ., & Tuse, D. . (2020). Performance evaluation model of Romanian manufacturing listed companies by fuzzy AHP and TOPSIS. Technological and Economic Development of Economy, 26(4), 808-836. https://doi.org/10.3846/tede.2020.12367
This work is licensed under a Creative Commons Attribution 4.0 International License.
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Chang., D. Y. (1996). Applications of the extent analysis method on fuzzy AHP. European Journal of Operational Research, 95(3), 649–655. https://doi.org/10.1016/0377-2217(95)00300-2
Chiu, C. R., Fang, C. L., Thang, S. S., & Chen, Y. F. (2018). Performance evaluation of the semiconductor industry based on a metafrontier approach. Techonological and Economic Development of Economy, 24(3), 825–843. https://doi.org/10.3846/20294913.2016.1218372
Choudhary, D., & Shankar, R. (2012). An STEEP-fuzzy AHP-TOPSIS framework for evaluation and selection of thermal power plant location: A case study from India. Energy, 42(1), 510–521. https://doi.org/10.1016/j.energy.2012.03.010
Ciora, C. (2013). Performance analysis by value creation. The Economic Publishing House.
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