A Novel Approach to Decision-Making Based on a-Rough Fuzzy Sets

被引：0

作者：

Wang, Yini ^{[1
]}

Zheng, Lina ^{[2
]}

Wang, Sichun ^{[1
]}

机构：

[1] Guangxi Univ Finance & Econ, Guangxi Key Lab Seaward Econ Intelligent Syst Anal, Nanning 530003, Guangxi, Peoples R China

[2] Guangxi Univ, Sch Business Adm, Nanning 530004, Guangxi, Peoples R China

来源：

INTERNATIONAL JOURNAL OF FUZZY SYSTEMS | 2023年 / 25卷 / 07期

关键词：

FIS; EIS; a-Rough fuzzy set; Preference index; Decision-making; The optimal selection; Validity test; FEATURE-SELECTION; INFORMATION; MODELS;

D O I：

10.1007/s40815-023-01528-8

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Rough fuzzy sets as fuzzy sets under the rough environment can be formed in Pawlak approximation space. a-rough fuzzy sets as the generalization of rough fuzzy sets can be constructed in an information system (IS). This paper studies a-rough fuzzy sets in ISs and gives a novel approach to decision-making based on them. Firstly, a-rough fuzzy sets in an expert information system (EIS) are studied. Then, the preference index of a decision problem based on a-rough fuzzy sets is proposed. Next, a decision-making method based on the preference degree function and the preference index is presented. Moreover, a decision-making algorithm to determine the optimal choice based on ISs is put forward. Finally, a numerical example to show the feasibility of the proposed method is given, and the validity test for this method is carried out. [GRAPHICS]

引用

页码：2760 / 2778

页数：19

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