State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, 210098 Nanjing, PR China; Research Institute of Management Science, Business School, Hohai University, 211100 Nanjing, PR China
State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, 210098 Nanjing, PR China; Research Institute of Management Science, Business School, Hohai University, 211100 Nanjing, PR China
Department of Business Administration, University of Barcelona, Av. Diagonal 690, 08034 Barcelona, Spain; Manchester Business School, The University of Manchester, Booth Street West, M15 6PB Manchester, United Kingdom
In this paper, we propose some new aggregation operators which are based on the Choquet integral and Einstein operations. The operators not only consider the importance of the elements or their ordered positions, but also consider the interactions phenomena among the decision making criteria or their ordered positions. It is shown that the proposed operators generalize several intuitionistic fuzzy Einstein aggregation operators. Moreover, some of their properties are investigated. We also study the relationship between the proposed operators and the existing intuitionistic fuzzy Choquet aggregation operators. Furthermore, an approach based on intuitionistic fuzzy Einstein Choquet integral operators is presented for multiple attribute decision-making problem. Finally, a practical decision making problem involving the water resource management is given to illustrate the multiple attribute decision making process.
Xu, Y., Wang, H., & Merigó, J. M. (2014). Intuitionistic fuzzy Einstein Choquet integral operators for multiple attribute decision making. Technological and Economic Development of Economy, 20(2), 227-253. https://doi.org/10.3846/20294913.2014.913273
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
