DocumentCode
3040623
Title
Writing a fuzzy knowledge base
Author
Torres, G. Lambert ; Valiquette, B. ; Greiss, H. ; Mukhedkar, D.
Author_Institution
Escola Federal de Engenharia de Itajuba, Brazil
fYear
1990
fDate
4-7 Nov 1990
Firstpage
439
Lastpage
444
Abstract
An alternative mathematical tool for deriving a data model is presented. The model is represented by fuzzy conditional statements, where the premise has a fuzzy meaning and the consequence is a straight line. An algorithm for calculating the parameters of these statements is proposed. The inference method used is presented. These models can be used in many studies and in control processes. Illustrative examples using real world data are presented
Keywords
control engineering computing; fuzzy set theory; inference mechanisms; knowledge based systems; knowledge representation; problem solving; control engineering computing; data model; fuzzy conditional statements; fuzzy knowledge base; fuzzy set theory; problem solving; Algorithm design and analysis; Control system synthesis; Data models; Fuzzy reasoning; Fuzzy set theory; Fuzzy sets; Inference algorithms; Performance analysis; Process control; Writing;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man and Cybernetics, 1990. Conference Proceedings., IEEE International Conference on
Conference_Location
Los Angeles, CA
Print_ISBN
0-87942-597-0
Type
conf
DOI
10.1109/ICSMC.1990.142145
Filename
142145
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