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
收藏
页码：2760 / 2778
页数：19
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