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Parameter reductions of soft equivalence relations.

Authors :
Zhang, Gangqiang
Xie, Ningxin
Li, Zhaowen
Source :
International Journal of Machine Learning & Cybernetics; Apr2017, Vol. 8 Issue 2, p711-720, 10p
Publication Year :
2017

Abstract

In this paper, the facts that every equivalence relation may be considered as a special case of soft equivalence relations and there exists a one-to-one correspondence between the family of all knowledge bases and the family of all soft equivalence relations are proved. Parameter reductions of soft equivalence relations are investigated from the angle of rough sets and their algorithms are given. Parameters in a soft equivalence relation are divided into four categories (i.e., necessary parameters, relatively necessary parameters, absolutely dispensable parameters, dispensable parameters) according to the importance. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
18688071
Volume :
8
Issue :
2
Database :
Complementary Index
Journal :
International Journal of Machine Learning & Cybernetics
Publication Type :
Academic Journal
Accession number :
122022602
Full Text :
https://doi.org/10.1007/s13042-015-0470-2