DocumentCode :
499008
Title :
An inexact reasoning algorithm based on interaction with fuzzy rule matrix transformation
Author :
Chen, Ai-xia ; Li, Ning ; Zhao, Li ; Zhu, Hong-tao ; Zhang, Guo-fang
Author_Institution :
Key Lab. of Machine Learning & Comput. Intell., Hebei Univ., Baoding, China
Volume :
1
fYear :
2009
fDate :
12-15 July 2009
Firstpage :
578
Lastpage :
581
Abstract :
This paper presents a reasoning algorithm based on interaction with fuzzy rule matrix transformation, and applies it to completing the patterns. Then the new full patterns will be used in training and synthetic judgment. The investigation shows that the method is effective and may be widely used in reasoning with incomplete knowledge.
Keywords :
fuzzy reasoning; fuzzy set theory; knowledge representation; matrix algebra; fuzzy rule matrix transformation; incomplete knowledge; inexact reasoning algorithm; knowledge representation; pattern completion; synthetic judgment; Computational intelligence; Cybernetics; Extraterrestrial measurements; Fuzzy logic; Fuzzy reasoning; Fuzzy systems; Knowledge based systems; Machine learning; Machine learning algorithms; Production; Fuzzy integral; Fuzzy measure; Fuzzy rule matrix transformation; Inexact reasoning algorithm; Interaction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2009 International Conference on
Conference_Location :
Baoding
Print_ISBN :
978-1-4244-3702-3
Electronic_ISBN :
978-1-4244-3703-0
Type :
conf
DOI :
10.1109/ICMLC.2009.5212454
Filename :
5212454
Link To Document :
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