A new parameter reduction in fuzzy soft sets

The normal parameter reduction in fuzzy soft sets is an efficient method to overcome the problem of suboptimal choice and added parameter set. However, the condition of redundant parameter is so strict that the number of deleting redundant parameter in fuzzy soft sets is very few, the effect of reduction is poor. In order to deleting more redundant parameters, the proximate normal parameter reduction in fuzzy soft sets is proposed, and the method is more efficient.