Parameter Reduction in Fuzzy Soft Set Based on Whale Optimization Algorithm

被引：4

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

页码：217268 / 217281

页数：14

共 36 条

[1] Soft set theory and uni-int decision making [J].

Cagman, Naim ;

Enginoglu, Serdar .

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2010, 207 (02) :848-855

[2] The parameterization reduction of soft sets and its applications [J].

Chen, DG ;

Tsang, ECC ;

Yeung, DS ;

Wang, XZ .

COMPUTERS & MATHEMATICS WITH APPLICATIONS, 2005, 49 (5-6) :757-763

[3] A whale optimization algorithm with chaos mechanism based on quasi-opposition for global optimization problems [J].

Chen, Hui ;

Li, Weide ;

Yang, Xuan .

EXPERT SYSTEMS WITH APPLICATIONS, 2020, 158

[4] An Alternative Approach to Normal Parameter Reduction Algorithm for Soft Set Theory [J].

Danjuma, Sani ;

Ismaili, Maizatul Akmar ;

Herawan, Tutut .

IEEE ACCESS, 2017, 5 :4732-4746

[5] A novel approach in exergy optimization of a WWER1000 nuclear power plant using whale optimization algorithm [J].

Ebrahimgol, H. ;

Aghaie, M. ;

Zolfaghari, A. ;

Naserbegi, A. .

ANNALS OF NUCLEAR ENERGY, 2020, 145

[6] Multi-L-soft Set and Its Application in Decision Making [J].

Fu, Wen-Qing ;

Shen, Yue .

QUANTITATIVE LOGIC AND SOFT COMPUTING 2016, 2017, 510 :575-586

[7] VAGUE SETS [J].

GAU, WL ;

BUEHRER, DJ .

IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS, 1993, 23 (02) :610-614

[8] BSSReduce an O(|U|) Incremental Feature Selection Approach for Large-Scale and High-Dimensional Data [J].

Gong, Ke ;

Wang, Yong ;

Xu, Maozeng ;

Xiao, Zhi .

IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2018, 26 (06) :3356-3367

[9]

[郭振洲 Guo Zhenzhou], 2017, [微电子学与计算机, Microelectronics & Computer], V34, P20

[10] Comments on "Normal parameter reduction in soft set based on particle swarm optimization algorithm" [J].

Han, Banghe .

APPLIED MATHEMATICAL MODELLING, 2016, 40 (23-24) :10828-10834

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