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Published in:
2012 | OriginalPaper | Chapter
Fuzzy Rules Extraction from Experimental Data
Authors : Alexander P. Rotshtein, Hanna B. Rakytyanska
Published in: Fuzzy Evidence in Identification, Forecasting and Diagnosis
Publisher: Springer Berlin Heidelberg
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The necessary condition for nonlinear object identification on the basis of fuzzy logic is the availability of IF-THEN rules interconnecting linguistic estimations of input and output variables. Earlier we assumed that IF-THEN rules are generated by an expert who knows the object very well. What is to be done when there is no expert? In this case the generation of IF-THEN rules becomes of interest because it means the generation of fuzzy knowledge base from accessible experimental data [1].