Approximate Normal Parameter Reduction of Fuzzy Soft Set Based on Harmony Search Algorithm

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.