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CODAS method with Probabilistic hesitant fuzzy information and its application to environmentally & economically balanced supplier selection

    Ningna Liao Affiliation
    ; Guiwu Wei Affiliation
    ; Xinrui Xu Affiliation
    ; Xudong Chen Affiliation
    ; Yanfeng Guo Affiliation

Abstract

With the rise of the concept of environmental protection and the attention of all sectors of society to the ecological environment, the selection of green suppliers is a hot topic. In this paper, we develop the combinative distance-based assessment (CODAS) method in the probabilistic hesitant fuzzy sets (PHFSs) to cope with the multiple attributes group decision making (MAGDM). A standardized approach that integrates multiple methods is applied to normalize the original data. Moreover, the statistics variance (SV) method is applied under PHFSs to calculate the objective weighting vector of evaluation criteria. In the end, a case for supplier selection and the comparative analysis are used to confirm the feasibility and utility of this new approach.


First published online 30 August 2022

Keyword : multiple attributes group decision making (MAGDM), probabilistic hesitant fuzzy sets (PHFSs), CODAS method, supplier selection

How to Cite
Liao, N., Wei, G., Xu, X., Chen, X., & Guo, Y. (2022). CODAS method with Probabilistic hesitant fuzzy information and its application to environmentally & economically balanced supplier selection. Technological and Economic Development of Economy, 28(5), 1419–1438. https://doi.org/10.3846/tede.2022.17273
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Sep 12, 2022
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