Certain types of fuzzy soft β-covering based fuzzy rough sets with application to decision-making

被引：3

作者：

Nawar, Ashraf S. ^{[1
]}

Atef, Mohammed ^{[1
]}

Khalil, Ahmed Mostafa ^{[2
]}

机构：

[1] Menoufia Univ, Fac Sci, Dept Math & Comp Sci, Menoufia, Egypt

[2] Al Azhar Univ, Fac Sci, Dept Math, Assiut 71524, Egypt

来源：

JOURNAL OF INTELLIGENT & FUZZY SYSTEMS | 2021年 / 40卷 / 06期

关键词：

Fuzzy soft beta-covering; Fuzzy soft beta-neighborhoods; Fuzzy soft beta-adhesion neighborhoods; Decision-making; REDUCTION; MODELS; APPROXIMATIONS; GRANULATION;

D O I：

10.3233/JIFS-201822

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 this paper is to introduce and study different kinds of fuzzy soft beta-neighborhoods called fuzzy soft beta-adhesion neighborhoods and to analyze some of their properties. Further, the concepts of soft beta-adhesion neighborhoods are investigated and the related properties are studied. Then, we present new kinds of lower and upper approximations by means of different fuzzy soft beta-neighborhoods. The relationships among our models (i.e., Definitions 3.9, 3.12, 3.15 and 3.18) and Zhang models [48] are also discussed. Finally, we construct an algorithm based on Definition 3.12, when k = 1 to solve the decision-making problems and illustrate its applicability through a numerical example.

引用

页码：10825 / 10836

页数：12

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