Influencing the nonlinearity at the transition between fuzzy logic rules

Author

Bastian, Andreas

Author_Institution

Lab. for Internat. Fuzzy Eng. Res., Yokohama, Japan

Volume

3

fYear

1995

fDate

20-24 Mar 1995

Firstpage

1413

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/FUZZY.1995.409865

Filename

409865