Defuzzification based on fuzzy clustering

descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 1994Publisher:IEEEJournal:Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference

Authors: H. Genther; T.A. Runkler; M. Glesner;

doi: 10.1109/fuzzy.1994.343943

Defuzzification based on fuzzy clustering

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Abstract

We develop a modified fuzzy clustering algorithm for parametric defuzzification in fuzzy rule base systems. Using examples and basic defuzzification properties we compare defuzzification by clustering with the standard defuzzification methods COG (Center of Gravity) and MOM (Mean of Maxima). Concerning fuzzy sets with forbidden zones the new method proves to be superior. We present how heuristic preprocessing and quality measures are used for appropriate parameter selection. >

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TU Darmstadt
Germany

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