Multi-Criteria Decision-Making Methods in Bipolar Fuzzy Environment

被引：95
|
作者：
Alghamdi, M. A. [1 ]
Alshehri, Noura Omair [2 ]
Akram, Muhammad [3 ]
机构：
[1] Imam Abdulrahman Bin Faisal Univ, Fac Sci, Dept Math, Dammam, Saudi Arabia
[2] King Abdulaziz Univ, Fac Sci, Dept Math, Jeddah, Saudi Arabia
[3] Univ Punjab, Dept Math, New Campus, Lahore, Pakistan
来源：
INTERNATIONAL JOURNAL OF FUZZY SYSTEMS | 2018年 / 20卷 / 06期
关键词：
Bipolar fuzzy set; TOPSIS method; ELECTRE I method; TOPSIS METHOD; SETS;
D O I：
10.1007/s40815-018-0499-y
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Bipolar fuzzy set theory, an extension of fuzzy set theory, deals with incomplete and vague information. The purpose of this research paper is to develop new methodologies in handling multi-criteria decision-making (MCDM) problems where the subjective data given by a decision maker are expressed with bipolar fuzzy information. Every alternative has a rating consists of two parts: positive and negative. The positive part represents the benefit (or satisfaction degree) and the negative part represents the cost (or dissatisfaction degree) of the alternative on the corresponding criterion. In this paper, we present bipolar fuzzy TOPSIS (BF-TOPSIS) method and bipolar fuzzy ELECTRE I (BF-ELECTRE I) method for solving MCDM problems that are equipped with bipolar fuzzy information. We illustrate our proposed methods with examples. We design algorithms of BF-TOPSIS method and BF-ELECTRE I method. We also give comparison of BF-TOPSIS method and BF-ELECTRE I method.
引用
收藏
页码：2057 / 2064
页数：8
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