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
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;
Conference_Titel :
Systems, Man and Cybernetics, 1990. Conference Proceedings., IEEE International Conference on
Conference_Location :
Los Angeles, CA
Print_ISBN :
0-87942-597-0
DOI :
10.1109/ICSMC.1990.142145
