DocumentCode :
2108820
Title :
Application of Rough Sets in Evaluating System Safety Behavior
Author :
Zhiming Qu
Author_Institution :
Hebei Univ. of Eng., Handan
fYear :
2008
fDate :
21-22 Dec. 2008
Firstpage :
1065
Lastpage :
1068
Abstract :
Safety is very important for the system which is composed of related interaction elements. Moreover, the uncertainty plays very significant role in making the system run safely. Using rough set (RS), the uncertain data is mined and much more information is illustrated in detail. In the process of evaluating the safety system behavior, the upper and lower approximations are used to define alphaB 1 (ZopfJ) by which the safe parameters are judged. RS will be applied to acquire more detailed system information. Through example results, it is concluded that the classification of system safety behavior parameters is judged well. The larger the value is, the greater the classification ability Bi of will be and the safer the system is.
Keywords :
data mining; pattern classification; rough set theory; data mining; evaluating system safety behavior; lower approximations; rough sets; upper approximations; Artificial intelligence; Bismuth; Civil engineering; Data analysis; Databases; Earthquakes; Information technology; Rough sets; Safety; Uncertainty; Rough set; evaluation; system safety; upper and lower approximation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Information Technology Application Workshops, 2008. IITAW '08. International Symposium on
Conference_Location :
Shanghai
Print_ISBN :
978-0-7695-3505-0
Type :
conf
DOI :
10.1109/IITA.Workshops.2008.15
Filename :
4732122
Link To Document :
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