DocumentCode :
441892
Title :
An improved similarity measure and fuzzy reasoning method
Author :
Ha, Ming-Hu ; Li, Hai-Jun ; Li, Yan ; Wang, Peng
Author_Institution :
Coll. of Math. & Comput. Sci., Hebei Univ., Baoding, China
Volume :
4
fYear :
2005
fDate :
18-21 Aug. 2005
Firstpage :
2583
Abstract :
In the fuzzy reasoning of expert system, similarity-based fuzzy reasoning method is a kind of simple and important method. This paper indicates the limitation of an existing similarity measure and its algorithm, and proposes an improved similarity measure and reasoning method. We give an example and comparison of two methods to show the superiority of the new algorithm.
Keywords :
expert systems; fuzzy reasoning; expert system; fuzzy reasoning method; similarity measure; weighted fuzzy production rule; Educational institutions; Expert systems; Fuzzy reasoning; Fuzzy systems; Hybrid intelligent systems; Information processing; Knowledge representation; Mathematics; Physics computing; Production systems; Expert System; Fuzzy Reasoning; Similarity Measure; Weighted Fuzzy Production Rule;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
Conference_Location :
Guangzhou, China
Print_ISBN :
0-7803-9091-1
Type :
conf
DOI :
10.1109/ICMLC.2005.1527379
Filename :
1527379
Link To Document :
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