DocumentCode
3291987
Title
Attribute Composition Distribution and Rough Law Status Estimation
Author
Huang, Shun-liang ; Zhang, Guan-yu ; Zhang, Ling ; Shi, Kai-quan
Volume
5
fYear
2008
fDate
18-20 Oct. 2008
Firstpage
246
Lastpage
250
Abstract
Function S-rough sets has dynamic characteristics and law characteristics. By employing function S-rough sets and the method of law generation, this paper proposes the concepts of attribute composition distribution and rough law distance. Then by using these concepts, this paper analyzes the relations between attribution composition distribution with rough law, moreover presents a series of theorems about the relations between rough law decomposition with attribute composition distribution. At last, an example is given for explaining the rough law status estimation. The results of this paper are the theory base of law mining and system status recognition.
Keywords
equivalence classes; functional analysis; rough set theory; attribute composition distribution; function S-rough sets; law generation; law mining; rough law status estimation; system status recognition; Conference management; Control systems; Engineering management; Fuzzy systems; Knowledge engineering; Knowledge management; Technology management; Attribute composition distribution; Function S-rough sets; Law mining; Rough law; Status recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems and Knowledge Discovery, 2008. FSKD '08. Fifth International Conference on
Conference_Location
Jinan Shandong
Print_ISBN
978-0-7695-3305-6
Type
conf
DOI
10.1109/FSKD.2008.216
Filename
4666531
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