Intuitionistic fuzzy induced ordered weighted averaging distance operator and its application to decision making

被引：43
|
作者：
Zeng, Shouzhen [1 ]
Merigo, Jose M. [2 ]
Palacios-Marques, Daniel [3 ]
Jin, Huanhuan [4 ]
Gu, Fengjuan [5 ]
机构：
[1] Ningbo Univ, Sch Business, Ningbo 315211, Zhejiang, Peoples R China
[2] Univ Manchester, Manchester Business Sch, Manchester, Lancs, England
[3] Univ Politecn Valencia, Dept Business Adm, Valencia, Spain
[4] Zhejiang Gongshang Univ Hangzhou Coll Commerce, Hangzhou, Zhejiang, Peoples R China
[5] Zhejiang Wanli Univ, Coll Comp & Informat, Ningbo, Zhejiang, Peoples R China
来源：
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS | 2017年 / 32卷 / 01期
基金：
中国国家自然科学基金;
关键词：
Intuitionistic fuzzy set; decision making; OWA; induced aggregation operators; distance measures; INDUCED AGGREGATION OPERATORS; MODEL;
D O I：
10.3233/JIFS-141219
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, we develop a new method for intuitionistic fuzzy decision making problems with induced aggregation operators and distance measures. Firstly, we introduce the intuitionistic fuzzy induced ordered weighted averaging distance (IFIOWAD) operator. It is an extension of the ordered weighted averaging (OWA) operator that uses the main characteristics of the induced OWA (IOWA), the distance measures and uncertain information represented by intuitionistic fuzzy numbers. The main advantage of this operator is that it is able to consider complex attitudinal characters of the decision-maker by using order-inducing variables in the aggregation of the distance measures. We further generalize the IFIOWAD by using weighted average. The result is the intuitionistic fuzzy induced ordered weighted averaging weighted average distance (IFIOWAWAD) operator. Finally, a practical example about the selection of investments is provided to illustrate the developed intuitionistic fuzzy aggregation operators.
引用
收藏
页码：11 / 22
页数：12
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