Approximate normal parameter reduction of fuzzy soft set based on harmony search algorithm

被引：7
|
作者：
Kong, Zhi [1 ]
Jia, Wenhua [1 ]
Wang, Lifu [1 ]
机构：
[1] Northeastern Univ Qinhuangdao, Sch Control Engn, Qinhuangdao 066004, Hebei, Peoples R China
来源：
PROCEEDINGS 2015 IEEE FIFTH INTERNATIONAL CONFERENCE ON BIG DATA AND CLOUD COMPUTING BDCLOUD 2015 | 2015年
关键词：
approximate normal parameter reduction; fuzzy soft set; harmony search algorithm;
D O I：
10.1109/BDCloud.2015.63
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Approximate normal parameter reduction of fuzzy soft set is an important problem in fuzzy soft set. while approximate reduction is a combinatorial optimization problem, and harmony search algorithm is a good method to deal with combinatorial optimization problem. Therefore, in this paper we discuss approximate normal parameter reduction of fuzzy soft set based on harmony search algorithm. Firstly, a mathematical model of approximate normal parameter reduction in fuzzy soft set is constructed. Then we calculate the approximate reduction using harmony search algorithm. And example is given to show the efficiency and rapidity.
引用
收藏
页码：321 / 324
页数：4
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