Geometric Bonferroni means of interval-valued intuitionistic fuzzy numbers and their application to multiple attribute group decision making

被引：24
|
作者：
Zhang, Zhiming [1 ]
机构：
[1] Hebei Univ, Coll Math & Informat Sci, Baoding 071002, Hebei, Peoples R China
来源：
NEURAL COMPUTING & APPLICATIONS | 2018年 / 29卷 / 11期
基金：
中国国家自然科学基金;
关键词：
Multiple attribute group decision making; Bonferroni mean; Geometric Bonferroni mean; Interval-valued intuitionistic fuzzy set; Interval-valued intuitionistic fuzzy geometric Bonferroni mean; Weighted interval-valued intuitionistic fuzzy geometric Bonferroni mean; AVERAGING OPERATORS; SETS; AGGREGATION; INFORMATION;
D O I：
10.1007/s00521-016-2621-0
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The aim of the paper was to propose the interval-valued intuitionistic fuzzy geometric Bonferroni mean and the weighted interval-valued intuitionistic fuzzy geometric Bonferroni mean for aggregating interval-valued intuitionistic fuzzy sets, taking into account the interrelationship between interval-valued intuitionistic fuzzy arguments. Then, some useful properties and special cases of the developed operators are investigated. Furthermore, the developed operators are used to put forward an approach for multiple attribute group decision making with interval-valued intuitionistic fuzzy information. Finally, an illustrative example is furnished to show the feasibility and practicality of the developed approach.
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页码：1139 / 1154
页数：16
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