直觉模糊集的新相关系数及其在多准则决策问题中的应用

P. A. Ejegwa
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引用次数: 17

摘要

在直觉模糊环境中,相关系数是一种重要的度量算子,用于求解多目标决策问题。在本文中,Xu等人对ifs的相关系数进行了推广,以提高输出。本文的目的是推广Xu等人提出的ifs的三参数相关系数,并揭示其在一些MCDM问题中的适用性。ifs的广义相关系数由若干结果表征。文中给出了一些数值实例来验证ifs广义相关系数相对于一些现有相关系数度量的优越性。此外,本文还利用所提出的相关系数,讨论了直觉模糊对捕获的MCDM问题,如课程分配的合适讲师的确定和人员晋升问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Novel Correlation Coefficient for Intuitionistic Fuzzy Sets and Its Application to Multi-Criteria Decision-Making Problems
Correlation coefficient is an essential measuring operator in an intuitionistic fuzzy environment use in solving MCDM problems. In this paper, Xu et al.'s correlation coefficient for IFSs is generalized for an improved output. The objectives of this work are to generalize the triparametric correlation coefficient for IFSs proposed by Xu et al. and unravel its applicability in some MCDM problems. The generalized correlation coefficient for IFSs is characterized with some number of results. Some numerical illustrations are supplied to validate the preeminence of the generalized correlation coefficient for IFSs over some existing correlation coefficient measures. In addition, some MCDM problems such as determination of suitable lecturer for course allocation and personnel promotion exercise captured in intuitionistic fuzzy pairs are discussed with the aid of the proposed correlation coefficient.
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