Improved Interval-Valued Intuitionistic Fuzzy Entropy and Its Applications in Multi-attribute Decision Making Problems

被引：2
|
作者：
Xie, Xiang-jun [1 ]
Lv, Xiao-xia [1 ]
机构：
[1] Southwest Petr Univ, Sch Sci, Chengdu 610500, Peoples R China
来源：
FUZZY SYSTEMS & OPERATIONS RESEARCH AND MANAGEMENT | 2016年 / 367卷
关键词：
Interval-valued intuitionistic fuzzy sets; Interval-valued intuitionistic fuzzy entropy; Uncertainty; Hamming distance; Multi-attribute decision making; SETS; KNOWLEDGE;
D O I：
10.1007/978-3-319-19105-8_19
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
According to the defect of not fully reflecting the uncertainty, the improved definition and formula, which consider both aspects of uncertainty (fuzziness and lack of knowledge), of entropy for interval-valued intuitionistic fuzzy sets are proposed. The proposed entropy is used to solvemulti-attribute decision making problems. Two numerical example verifies the appropriateness and effectiveness of the improved entropy for solving multi-attribute decision making problems.
引用
收藏
页码：201 / 211
页数：11
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