Multiple-Attribute Decision Making Based on the Probabilistic Dominance Relationship with Fuzzy Algebras

被引：4

作者：

Baklouti, Amir ^{[1
]}

机构：

[1] Umm Al Qura Univ, Coll Appl Sci, Dept Math Sci, Mecca 21955, Saudi Arabia

来源：

SYMMETRY-BASEL | 2023年 / 15卷 / 06期

关键词：

fuzzy algebra; intuitionistic fuzzy numbers; multiple-attribute decision making; probabilistic dominance relationship; hesitant intuitionistic fuzzy numbers; SET;

D O I：

10.3390/sym15061188

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

In multiple-attribute decision-making (MADM) problems, ranking the alternatives is an important step for making the best decision. Intuitionistic fuzzy numbers (IFNs) are a powerful tool for expressing uncertainty and vagueness in MADM problems. However, existing ranking methods for IFNs do not consider the probabilistic dominance relationship between alternatives, which can lead to inconsistent and inaccurate rankings. In this paper, we propose a new ranking method for IFNs based on the probabilistic dominance relationship and fuzzy algebras. The proposed method is able to handle incomplete and uncertain information and can generate consistent and accurate rankings.

引用

页数：16

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