NDLI: Uncertainty Measure of Covering Generated Rough Set

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2007 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Workshops

2006 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology Workshops

2006 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology-Title

2006 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology-Copyright

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Uncertainty Measure of Covering Generated Rough Set

Content Provider	IEEE Xplore Digital Library
Author	Jun Hu Guoyin Wang Qinghua Zhang
Copyright Year	2006
Description	Author affiliation: Sch. of Electron. Eng., Xidian Univ., Xi'an (Jun Hu; Guoyin Wang)
Abstract	Uncertainty measure is a key issue of knowledge discovery based on covering approximation space. Information entropy was applied into both classical rough set and extended rough set to measure the uncertainty respectively, but their relationship has not been studied. Based on equal domain relation, a covering approximation space is converted into a partition approximation space in this paper, and uncertainty measures of covering generated rough set are developed. Their properties are analyzed with the generated partition approximation space fined, and these properties are still kept with the original covering approximation spacer fined
Sponsorship	IEEE Comput. Soc. WIC ACM
Starting Page	498
Ending Page	504
File Size	305138
Page Count	7
File Format	PDF
ISBN	0769527493
DOI	10.1109/WI-IATW.2006.139
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-12-18
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Knowledge engineering Computer science Space technology Measurement uncertainty Extraterrestrial measurements Set theory Information entropy Intelligent agent Information analysis Information systems
Content Type	Text
Resource Type	Article

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