Paper Info
Title
Uncertainty measure for general relation-based rough fuzzy set.
Abstract
Purpose - The purpose of this paper is to present a measure method of the uncertainty for rough fuzzy set based on general binary relation. Design/methodology/approach - Rough set and fuzzy set are two different but complementary theories for expressing uncertainty information, and based on the combination of these two uncertainty theories of expressing and handling uncertainty information, the rough fuzzy set model and uncertainty measure based on general relation are discussed. Findings - This paper reveals the intrinsic of the uncertainty for rough fuzzy set based on general relation and presents a new measure method by introducing the Shannon entropy to generalized approximation space. Originality/value - The paper contributes to the discussion on the research of rough set and fuzzy set. The conclusions are useful in information processing with uncertainty.
Year
DOI
Venue
2013
10.1108/K-12-2012-0119
KYBERNETES
Keywords
Field
DocType
Fuzzy set,General binary relation,Rough fuzzy set,Rough set,Shannon entropy,Uncertainty measure
Data mining,Mathematical optimization,Fuzzy classification,Fuzzy set operations,Computer science,Fuzzy mathematics,Rough set,Fuzzy set,Fuzzy number,Type-2 fuzzy sets and systems,Dominance-based rough set approach
Journal
Volume
Issue
ISSN
42
6
0368-492X
Citations 
PageRank 
References 
2
0.37
25
Authors
2
Name
Order
Citations
PageRank
Bingzhen Sun169631.92
Weimin Ma242726.76