Title :
A new parameter reduction in fuzzy soft sets
Author :
Kong, Zhi ; Wang, Lifu ; Wu, Zhaoxia ; Zou, Dexuan
Author_Institution :
School of Control of Engineering, Northeastern University At Qinhuangdao, Hebei, China
Abstract :
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.
Keywords :
Approximate Reduction; Fuzzy Soft Sets; Normal Parameter Reduction; Redundant Parameter;
Conference_Titel :
Granular Computing (GrC), 2012 IEEE International Conference on
Conference_Location :
Hangzhou, China
Print_ISBN :
978-1-4673-2310-9
DOI :
10.1109/GrC.2012.6468637
