基于二元犹豫模糊集和直觉模糊理想的MCGDM问题计算方法

Akanksha Singh, Sanjay Kumar
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引用次数: 1

摘要

本文提出了一种利用双犹豫模糊信息求解多准则决策问题的计算方法。本文讨论了正整数半环上模糊理想的局限性,提出了有理数子集上半环上的模糊理想。本文还定义了半环的直觉模糊理想,并将其用于聚合对偶犹豫群偏好矩阵的理想化。提出的方法以简单的计算算法的形式出现。该方法的主要特点是考虑了属性之间的关系,即考虑了属性的相对偏好来确定属性的排序顺序,而其他方法是单独考虑各个属性。以供应商选择问题为例,了解基于双犹豫信息的MCGDM计算方法的实现,并与不同方法的排序结果进行比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dual Hesitant Fuzzy Set and Intuitionistic Fuzzy Ideal Based Computational Method for MCGDM Problem
In this article, the authors propose a computational method for multi criteria decision making problems using dual hesitant fuzzy information. In this study, the authors mention limitation of fuzzy ideals over a semi ring of positive integers and propose fuzzy ideal over a semi ring over subset of rationals. An intuitionistic fuzzy ideal of semi rings is also defined in this article which is used in idealizing aggregated dual hesitant group preference matrixes. The proposed approach appears in the form of simple computational algorithms. The main characteristic of the proposed approach is it considers the relationship between attributes, and so it takes into account relative preferences of attributes to find out the ranking order of attributes while other methods consider various attributes independently. An example of a supplier selection problem is undertaken to understand the implementation of the proposed computational approach based on MCGDM with dual hesitant information and ranking results compared with different methods.
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