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A novel similarity measure for pseudo-generalized fuzzy rough sets.

Authors :
Zhan-hong Shi
Ding-hai Zhang
Source :
Journal of Computational Analysis & Applications. Feb2019, Vol. 26 Issue 2, p334-337. 14p.
Publication Year :
2019

Abstract

Various fuzzy generalizations of rough approximations have been made over the years. In this paper, the pseudo-generalized fuzzy rough sets are presented and some properties of the pseudo fuzzy rough approximation operators are investigated. It is necessary to measure the similarity between two pseudo-generalized fuzzy rough sets in some practical cases, such as pattern recognition, image processing and fuzzy reasoning. A novel similarity measure between two pseudo-generalized fuzzy rough sets is proposed in this paper. At the same time, we show that the similarity measure between two pseudo-generalized fuzzy rough sets can be given according to the pseudo-operation. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
15211398
Volume :
26
Issue :
2
Database :
Academic Search Index
Journal :
Journal of Computational Analysis & Applications
Publication Type :
Academic Journal
Accession number :
129242159