DocumentCode
3431745
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
fYear
2012
fDate
11-13 Aug. 2012
Firstpage
730
Lastpage
732
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Granular Computing (GrC), 2012 IEEE International Conference on
Conference_Location
Hangzhou, China
Print_ISBN
978-1-4673-2310-9
Type
conf
DOI
10.1109/GrC.2012.6468637
Filename
6468637
Link To Document