Title :
Defuzzification based on fuzzy clustering
Author :
Genther, Harald ; Runkler, Thomas A. ; Glesner, Manfred
Author_Institution :
Graduiertenkolleg Intelligent Syst. for Inf. & Autom. Technol., Darmstadt Univ. of Technol., Germany
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
Keywords :
fuzzy logic; fuzzy set theory; heuristic programming; knowledge based systems; pattern recognition; COG; Center of Gravity; MOM; Mean of Maxima; euristic preprocessing; fuzzy clustering; fuzzy rule base systems; fuzzy set; parameter selection; parametric defuzzification; Appropriate technology; Automatic control; Clustering algorithms; Color; Data analysis; Fuzzy control; Fuzzy sets; Fuzzy systems; Gray-scale; Message-oriented middleware;
Conference_Titel :
Fuzzy Systems, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the Third IEEE Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-1896-X
DOI :
10.1109/FUZZY.1994.343943
