Title :
Rough set model based on dual-limited symmetric similarity relation
Author :
Zhai, Yuming ; Yan, Ruixia
Author_Institution :
School of Economics and Management, Shanghai Institute of Technology, China
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.
Keywords :
Educational institutions; Europe; Dual-limited Symmetric Similarity Relation; Incomplete Information System; Rough Sets; Symmetric Similarity Relation;
Conference_Titel :
Granular Computing (GrC), 2012 IEEE International Conference on
Conference_Location :
Hangzhou, China
Print_ISBN :
978-1-4673-2310-9
DOI :
10.1109/GrC.2012.6468657