具有模糊隶属函数的循环直觉模糊TOPSIS方法:供应商选择应用环境

C. Kahraman, Nurşah Alkan
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引用次数: 26

摘要

一般2型模糊集的隶属函数是三维的,目的是通过三维来体现其模糊性。类似地,Atanassov(2020)最近引入了圆形直觉模糊集(Circular intuitionistic fuzzy set, cifs)作为直觉模糊集的新扩展,用圆形表示隶属函数的模糊度。cifs允许决策者表达他们的判断,包括这种模糊性。本研究将最常用的多准则决策方法之一TOPSIS方法扩展到其CIF版本。将所提出的CIF-TOPSIS方法应用于供应商选择问题。然后,进行了基于准则权重的灵敏度分析,以检验所提方法的鲁棒性。通过与单值直觉模糊TOPSIS方法的对比分析,验证了该方法的有效性
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Circular intuitionistic fuzzy TOPSIS method with vague membership functions: Supplier selection application context
The membership function of a general type-2 fuzzy set is three-dimensional in order to incorporate its vagueness through the third dimension. Similarly, Circular intuitionistic fuzzy sets (CIFSs) have been recently introduced by Atanassov (2020) as a new extension of intuitionistic fuzzy sets, which are represented by a circle representing the vagueness of the membership function. CIFSs allow decision-makers to express their judgments including this vagueness. In this study, the TOPSIS method, which is one of the most used multi-criteria decision-making methods is extended to its CIF version. The proposed CIF-TOPSIS methodology is applied to the supplier selection problem. Then, a sensitivity analysis based on criteria weights is conducted to check the robustness of the proposed approach. A comparative analysis with single-valued intuitionistic fuzzy TOPSIS method is also performed to verify the developed approach and to demonstrate its effectiveness
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