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A Multi-criterion Group Decision Making Method: CRITIC-WASPAS Based on Trapezoidal Intuitionistic Fuzzy Numbers

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Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2019)

Abstract

In order to solve the multi-criteria group decision problem in the fuzzy environment due to the uncertainty caused by the uncertainty, a new metho CRITIC-WASPAS based on trapezoidal intuitionistic fuzzy number is proposed. Firstly, the intuitionistic scoring matrix of each decision maker is transformed into trapezoidal intuitionistic fuzzy decision matrix. and the objective weight of each decision maker under different criteria is obtained by entropy weight method, and then the matrix of each decision maker is aggregated into a comprehensive matrix by using the trapezoidal intuitionistic fuzzy weighted average operator. secondly, the CRITIC method is used to obtain the objective weights of each criterion, and then the measure values of the WASPAS method based on the trapezoidal intuitionistic fuzzy numbers are obtained, which are clarified and sorted; finally, the feasibility and effectiveness of this algorithm are verified by analyzing the calculation examples selected by third-party logistics service providers.

Xi’an University of Posts and Telecommunications Graduate Innovation Fund (CXJJWY2018094).

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Correspondence to Songmin Zhao .

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Zhang, W., Zhao, S., Dong, D., Zhu, Y., Wang, D. (2020). A Multi-criterion Group Decision Making Method: CRITIC-WASPAS Based on Trapezoidal Intuitionistic Fuzzy Numbers. In: Liu, Y., Wang, L., Zhao, L., Yu, Z. (eds) Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery. ICNC-FSKD 2019. Advances in Intelligent Systems and Computing, vol 1074. Springer, Cham. https://doi.org/10.1007/978-3-030-32456-8_89

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