Parameter Reduction in Fuzzy Soft Set Based on Whale Optimization Algorithm

被引：0
|
作者：
Kong, Zhi [1 ]
Zhao, Jie [1 ]
Yang, Qingfeng [1 ]
Ai, Jianwei [1 ]
Wang, Lifu [1 ]
机构：
[1] Northeastern Univ Qinhuangdao, Sch Control Engn, Qinhuangdao 066004, Hebei, Peoples R China
来源：
IEEE ACCESS | 2020年 / 8卷
关键词：
Fuzzy soft set; parameter reduction; whale optimization algorithm; score method;
D O I：
10.1109/ACCESS.2020.3041907
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Parameter reduction is one of the hot topics in soft set theory. Deleting redundant parameters can reduce data and make decision effectively. In this article parameter reduction in fuzzy soft sets based on score decision-making method is discussed. The parameter reduction becomes more and more difficult with the number of parameters increasing. In order to find reduction quickly, a mathematical model of parameter reduction based on the score decision-making method is constructed, and the whale optimization algorithm is improved and tested. Finally, the reduction is obtained by using the improved whale optimization algorithm. The simulation results show that the method is effective.
引用
收藏
页码：217268 / 217281
页数：14
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