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The relationships between the inclusion degree and measures on rough set data analysis based on regular probability spaces

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3 Author(s)
Tsang, E.C.C. ; Dept. of Comput., Hong Kong Polytech. Univ., Kowloon ; Wen-Xia Yang ; De-Gang Chen

Rough set data analysis is one of the main application techniques arising from rough set theory. In this paper we first give a concept of inclusion degree and introduce some measures on rough set in probability spaces. Then we establish several important relationships between the inclusion degree and these measures. Finally, we get one conclusion that these measures can be reduced to the inclusion degree by using mathematical reasoning.

Published in:
Machine Learning and Cybernetics, 2008 International Conference on  (Volume:4 )

Date of Conference: 12-15 July 2008

Page(s):
2412 - 2416
E-ISBN :
978-1-4244-2096-4
Print ISBN:
978-1-4244-2095-7
INSPEC Accession Number:
10207011
Conference Location :
Kunming
Digital Object Identifier :
10.1109/ICMLC.2008.4620810
Product Type:
Conference Publications

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