Hesitant Fuzzy Soft Set Theory and Its Application in Decision Making

被引：9
|
作者：
Sooraj, T. R. [1 ]
Mohanty, R. K. [1 ]
Tripathy, B. K. [1 ]
机构：
[1] VIT Univ, Sch Comp Sci, Vellore, Tamil Nadu, India
来源：
ARTIFICIAL INTELLIGENCE AND EVOLUTIONARY COMPUTATIONS IN ENGINEERING SYSTEMS, ICAIECES 2016 | 2017年 / 517卷
关键词：
Soft set; Fuzzy sets; Fuzzy soft sets; Intuitionistic fuzzy set; Hesitant sets; Intuitionistic fuzzy soft set; Decision making;
D O I：
10.1007/978-981-10-3174-8_28
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
There are several models of uncertainty found in the literature like fuzzy set, rough set, soft set and hesitant fuzzy set. Also, several hybrid models have come up as a combination of these models and have been found to be more useful than the individual models. In everyday life we make many decisions. Making efficient decisions under uncertainty needs better techniques. Many such techniques have been developed in the recent past. These techniques involve soft sets and fuzzy sets. In this paper we redefined the hesitant fuzzy soft sets (HFSS) with the help of membership function. We also provide a decision making algorithm.
引用
收藏
页码：315 / 322
页数：8
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