On intuitionistic fuzzy decision-making using soft likelihood functions

被引：26
|
作者：
Fei, Liguo [1 ]
Feng, Yuqiang [1 ]
Liu, Luning [1 ]
Mao, Weicheng [1 ]
机构：
[1] Harbin Inst Technol, Sch Management, Management Sci & Engn, Harbin, Heilongjiang, Peoples R China
来源：
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS | 2019年 / 34卷 / 09期
基金：
中国国家自然科学基金;
关键词：
aggregation; intuitionistic fuzzy set; likelihood function; multicriteria decision-making; ordered weighted average; reliability; RULE;
D O I：
10.1002/int.22141
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Inspired by Yager, in this paper, we present the concept of likelihood for intuitionistic fuzzy sets (IFSs), and propose an approach for flexible computation of likelihood functions of IFSs for multicriteria decision-making (MCDM). We employ ordered weighted average (OWA) aggregation method to soften the strong likelihood constraint condition. The OWA measure can be considered as the attitudinal character, which determines OWA weights, including optimistic or pessimistic likelihood values. Then the reliability-based soft likelihood function is developed by considering the reliability of intuitionistic fuzzy information. Some examples are conducted by using the proposed (reliability-based) soft likelihood functions in intuitionistic fuzzy environment for MCDM problem, and the results are analyzed in detail.
引用
收藏
页码：2225 / 2242
页数：18
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