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
Link To Document :
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