A STUDY ON Z-SOFT ROUGH FUZZY SEMIGROUPS AND ITS DECISION-MAKING

被引:20
|
作者
Wang, Qiumei [1 ]
Zhan, Jianming [1 ]
Ali, Muhammad Irfan [2 ]
Mehmood, Nayyar [3 ]
机构
[1] Hubei Univ Nationalities, Dept Math, Enshi 445000, Peoples R China
[2] Islamabad Model Coll Girls, Dept Math, F-6-2, Islamabad, Pakistan
[3] Int Islamic Univ, Dept Math & Stat, Islamabad, Pakistan
关键词
Z-soft rough fuzzy set; Z-soft rough fuzzy semigroup; Z-soft rough fuzzy ideal; decision-making; SIMILARITY MEASURE; 2; UNIVERSES; SET-THEORY; IDEALS; HEMIRINGS; EXTENSIONS; ALGORITHMS; EDAS;
D O I
10.1615/Int.J.UncertaintyQuantification.2017021012
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The hybrid soft set model is an important topic dealing with uncertain information. In this article, we firstly introduce the concept of Z-soft rough fuzzy sets of a semigroup, and obtain some basic operations about the upper (lower) approximations. Next, we give the definition of Z-soft rough fuzzy semigroups and study related properties. Particularly, we form an approach which is built on the basis of Z-soft rough fuzzy sets of a semigroup for decision-making, and we also give an example to test the validity of the approach. Finally, we compare the performance of three algorithms for decision-making, stated in terms of hybrid soft set models, inclusive of our Z-soft rough fuzzy sets. We use computer simulations in a medical environment with Matlab programs that are provided in an Appendix.
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页码:1 / 22
页数:22
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