DocumentCode
598647
Title
Uncertainty measures of covering rough sets based on knowledge granularities
Author
Yang, Chengzhuan ; Wang, Jiyi ; Wu, Jiandang
Author_Institution
College of Mathematics, Physics and Information Engineering, Zhejiang Normal University, Jinhua, China, 321004
fYear
2012
fDate
11-13 Aug. 2012
Firstpage
591
Lastpage
595
Abstract
This paper has analyzed the existent measures of uncertainty based on covering rough sets. It is revealed that they all bear some irrationality under specified situations. Here a concept of relative knowledge granularities based on covering rough sets is defined. And we propose an uncertainty measure of covering rough sets based on knowledge granularities and prove its relevant properties. Analysis has proven that the uncertainty measuring approach overcomes the irrationality of former approaches, so it provides a new method for measuring the uncertainty of covering rough sets.
Keywords
Measurement uncertainty; Rough sets; Uncertainty; covering; knowledge granularities; rough sets; roughness; uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Granular Computing (GrC), 2012 IEEE International Conference on
Conference_Location
Hangzhou, China
Print_ISBN
978-1-4673-2310-9
Type
conf
DOI
10.1109/GrC.2012.6468606
Filename
6468606
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