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Rough set model based on dual-limited symmetric similarity relation.

Authors :
Zhai, Yuming
Yan, Ruixia
Source :
2012 IEEE International Conference on Granular Computing; 1/ 1/2012, p629-632, 4p
Publication Year :
2012

Abstract

The concepts of comparability and credibility of the symmetric similarity relations are proposed. This paper builds a dual-limited symmetric similarity relation and construct the rough set model based on the dual-limited symmetric similarity relation. Then, this paper determine the upper approximation set, and lower approximate set and the boundaries domain to improve the granularity and accuracy of knowledge in incomplete information system. The effectiveness and practicality of the rough set model based on the dual-limited symmetric similarity relations are verified from the two aspects of theoretical and practice. [ABSTRACT FROM PUBLISHER]

Details

Language :
English
ISBNs :
9781467323109
Database :
Complementary Index
Journal :
2012 IEEE International Conference on Granular Computing
Publication Type :
Conference
Accession number :
86556984
Full Text :
https://doi.org/10.1109/GrC.2012.6468657