Title :
Influencing the nonlinearity at the transition between fuzzy logic rules
Author :
Bastian, Andreas
Author_Institution :
Lab. for Internat. Fuzzy Eng. Res., Yokohama, Japan
Abstract :
The linearity/nonlinearity of the output surface of a fuzzy logic controller or model has been discussed in many studies; yet, none of those studies has explicitly considered the linearity/nonlinearity at the transition between fuzzy logic rules. In this study the linearity/nonlinearity at this transition is influenced by a modified center of gravity defuzzification method, where so-called defuzzification weights are introduced to the overlapping areas of the consequence
Keywords :
computational linguistics; fuzzy control; fuzzy logic; inference mechanisms; learning (artificial intelligence); neural nets; center of gravity defuzzification; defuzzification weights; fuzzy control; fuzzy inference; fuzzy logic rules; human control action model; learning; linearity; linguistic variables; neural networks; nonlinearity; Fuzzy control; Fuzzy logic; Fuzzy sets; Gravity; Humans; Laboratories; Linearity; Rough surfaces; Surface fitting; Surface roughness;
Conference_Titel :
Fuzzy Systems, 1995. International Joint Conference of the Fourth IEEE International Conference on Fuzzy Systems and The Second International Fuzzy Engineering Symposium., Proceedings of 1995 IEEE Int
Conference_Location :
Yokohama
Print_ISBN :
0-7803-2461-7
DOI :
10.1109/FUZZY.1995.409865
