Fuzzy multicriteria decision-making method based on a family of novel measured functions under vague environment

被引：3
|
作者：
Farhadinia, B. [1 ]
机构：
[1] Quchan Univ Adv Technol, Dept Math, Quchan, Iran
来源：
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS | 2014年 / 27卷 / 06期
关键词：
Vague set; intuitionistic fuzzy set; measured function; multi-attribute decision making; AGGREGATION OPERATORS; SETS; SELECTION; RANKING;
D O I：
10.3233/IFS-141241
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
There exist several types of measured functions that have been widely used for handling fuzzy multicriteria decision-making problems with vague (interchangeably, intuitionistic fuzzy) information. The main goal of this paper is to present firstly a comparative study of some existing measured functions underling their counter-intuitive examples and then a family of novel measured functions under vague environment is introduced.
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页码：2797 / 2808
页数：12
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