A multi-criteria decision making procedure based on interval-valued intuitionistic fuzzy bonferroni means

被引：76
|
作者：
Xu, Zeshui [1 ,2 ]
Chen, Qi [2 ,3 ]
机构：
[1] Southeast Univ, Sch Econ & Management, Nanjing 211189, Jiangsu, Peoples R China
[2] PLA Univ Sci & Technol, Inst Commun Engn, Nanjing 210007, Jiangsu, Peoples R China
[3] PLA Univ Sci & Technol, Inst Sci, Nanjing 210007, Jiangsu, Peoples R China
来源：
JOURNAL OF SYSTEMS SCIENCE AND SYSTEMS ENGINEERING | 2011年 / 20卷 / 02期
基金：
中国国家自然科学基金;
关键词：
Bonferroni mean; interval-valued intuitionistic fuzzy number; multi-criteria decision making; interval-valued intuitionistic fuzzy Bonferroni mean; weighted interval-valued intuitionistic fuzzy Bonferroni mean; AGGREGATION OPERATORS; SETS; WEIGHTS;
D O I：
10.1007/s11518-011-5163-0
中图分类号：
C93 [管理学]; O22 [运筹学];
学科分类号：
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要：
Inspired by the idea of Bonferroni mean, in this paper we develop an aggregation technique called the interval-valued intuitionistic fuzzy Bonferroni mean for aggregating interval-valued intuitionistic fuzzy information. We study its properties and discuss its special cases. For the situations where the input arguments have different importance, we then define a weighted interval-valued intuitionistic fuzzy Bonferroni mean, based on which we give a procedure for multi-criteria decision making under interval-valued intuitionistic fuzzy environments.
引用
收藏
页码：217 / 228
页数：12
相关论文
共 50 条
12345