DocumentCode :
2734101
Title :
Multi-Level Knowledge Reduction in Fuzzy Objective Information Systems
Author :
Zhou, Xianzhong ; Huang, Bing ; Zhao, Jiabao
Author_Institution :
Dept. of Syst. & Control Eng., Nanjing Univ.
Volume :
1
fYear :
0
fDate :
0-0 0
Firstpage :
4123
Lastpage :
4127
Abstract :
Knowledge reduction is one of the most important tasks in rough set theory. Aiming at fuzzy objective information systems (FOIS), several knowledge reductions, distribution reduction, maximum distribution reduction, assignment reduction and ordered assignment reduction, are defined under the condition of multi-level. The judgment theorem and discernibility matrix with respect to consistent set are obtained by means of the definitions. One method to extract the defined knowledge reductions is presented. This may aid to knowledge acquisition from fuzzy objective information systems
Keywords :
fuzzy set theory; knowledge acquisition; rough set theory; discernibility matrix; fuzzy objective information system; judgment theorem; knowledge acquisition; maximum distribution reduction; multilevel knowledge reduction; ordered assignment reduction; rough set theory; Computer science; Control engineering; Data mining; Fuzzy control; Fuzzy set theory; Fuzzy sets; Fuzzy systems; Information systems; Knowledge acquisition; Set theory; discernibility matrix; fuzzy objective information systems; knowledge reduction; rough sets;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location :
Dalian
Print_ISBN :
1-4244-0332-4
Type :
conf
DOI :
10.1109/WCICA.2006.1713150
Filename :
1713150
Link To Document :
بازگشت