CODAS METHOD WITH PROBABILISTIC HESITANT FUZZY INFORMATION AND ITS APPLICATION TO ENVIRONMENTALLY & ECONOMICALLY BALANCED SUPPLIER SELECTION

IF 4.8 2区经济学 Q1 ECONOMICS

Technological and Economic Development of Economy Pub Date : 2022-08-30 DOI:10.3846/tede.2022.17273

Ningna Liao, G. Wei, Xinrui Xu, Xudong Chen, Yanfeng Guo

引用次数: 1

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.

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带有概率犹豫模糊信息的Codas方法及其在环境与经济平衡供应商选择中的应用

随着环保理念的兴起和社会各界对生态环境的关注，绿色供应商的选择成为一个热门话题。本文提出了概率犹豫模糊集(phfs)中基于距离的组合评估(CODAS)方法，以应对多属性群体决策(MAGDM)问题。采用集成多种方法的标准化方法对原始数据进行规范化处理。此外，在phfs下应用统计方差(SV)方法计算评价标准的客观权重向量。最后，通过一个供应商选择案例和对比分析，验证了该方法的可行性和实用性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Technological and Economic Development of Economy ECONOMICS-

CiteScore

10.00

自引率

8.50%

发文量

审稿时长

15 weeks

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