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