Generalized intuitionistic fuzzy geometric aggregation operators and their application to multi-criteria decision making

被引：18
|
作者：
Tan, Chunqiao [1 ]
Yi, Wentao [1 ]
Chen, Xiaohong [1 ]
机构：
[1] Cent S Univ, Changsha 410083, Hunan, Peoples R China
来源：
JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY | 2015年 / 66卷 / 11期
基金：
中国国家自然科学基金;
关键词：
multi-criteria decision making; intuitionistic fuzzy set; generalized intuitionistic fuzzy geometric aggregation operator; Archimedean t-norm and t-conorm; VAGUE SET-THEORY; BONFERRONI MEANS; TERMINOLOGICAL DIFFICULTIES; OPERATIONS; MODELS; REPRESENTATION; INFORMATION; EXTENSIONS;
D O I：
10.1057/jors.2014.104
中图分类号：
C93 [管理学];
学科分类号：
12 ; 1201 ; 1202 ; 120202 ;
摘要：
In this paper, we extend the generalized weighted geometric and generalized ordered weighted geometric operators to intuitionistic fuzzy environments, that is, we develop a series of generalized intuitionistic fuzzy geometric operators to aggregate input arguments that are expressed by intuitionistic fuzzy values based on Archimedean t-conorm and t-norm. Then some desired properties of these aggregation operators are investigated. The relations between these operators and some existing intuitionistic fuzzy geometric aggregation operators are discussed in detail. Furthermore, applying these proposed operators, we develop an approach for multi-criteria decision making with intuitionistic fuzzy information. Finally, a practical example is given to verify the developed approach and to demonstrate its practicality and effectiveness.
引用
收藏
页码：1919 / 1938
页数：20
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