维柯法
度量(数据仓库)
排名(信息检索)
勾股定理
多准则决策分析
公理
计算机科学
背景(考古学)
模糊逻辑
数据挖掘
数学
数学优化
人工智能
几何学
生物
古生物学
作者
Muhammad Jabir Khan,Muhammad İrfan Ali,Poom Kumam,Wiyada Kumam,Muhammad Aslam,José Carlos R. Alcantud
摘要
The compromise solution of the multi-criteria decision-making (MCDM) problem by the existing VIKOR method for Pythagorean fuzzy sets (PyFSs) is not closest to the positive ideal solution. This is because the defining function for VIKOR does not obey the axioms for a dissimilarity measure. Thus in this context, the existing notion of dissimilarity measures and the VIKOR method are controversial. This study aims to provide a new dissimilarity measure and refine the VIKOR method for PyFSs accordingly. We define a new dissimilarity measure for PyFSs and refine the existing VIKOR method. We discuss the additional properties of dissimilarity measures and improve the ideas of remoteness and ranking indexes. We provide numerical examples to support the analysis and findings of our study. Finally, we solve the MCDM problems to illustrate the proposed method.
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