Uncertainty measures of interval-valued intuitionistic fuzzy soft sets and their applications in decision making

被引:7
|
作者
Feng, Qinrong [1 ]
Guo, Xiao [1 ]
机构
[1] Shanxi Normal Univ, Sch Math & Comp Sci, Linfen 041004, Shanxi, Peoples R China
关键词
Interval-valued intuitionistic fuzzy soft set; distance measure; similarity measure; inclusion measure; decision making; GREY RELATIONAL ANALYSIS; DEMPSTER-SHAFER THEORY; SIMILARITY MEASURE; ADJUSTABLE APPROACH; INCLUSION MEASURES; MEDICAL DIAGNOSIS; DISTANCE MEASURE; ENTROPY;
D O I
10.3233/IDA-150331
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Soft set theory offers a general mathematical tool for dealing with uncertainty. An interval-valued intuitionistic fuzzy soft set is a combination of interval-valued intuitionistic fuzzy set and soft set. The chief aim of this paper is to investigate the decision making based on interval-valued intuitionistic fuzzy soft sets. By means of the uncertainty measures of interval-valued intuitionistic fuzzy soft sets, we develop a novel approach to solve the problems of decision making and give an example to illustrate the developed approach, which demonstrates that our proposed method is more flexible and effective. Furthermore, we present an adjustable approach to weighted interval-valued intuitionistic fuzzy soft sets based decision making problems by using distance measures.
引用
收藏
页码:77 / 95
页数:19
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