Fuzzy classifier system using hyper-cone membership functions and rule reduction techniques

Author

Inoue, Hiroyuki ; Hatase, Keita ; Kam, Katsuari

Author_Institution

Fac. of Educ. & Regional Studies, Fukui Univ., Japan

Volume

3

fYear

2001

fDate

6/23/1905 12:00:00 AM

Firstpage

1436

Lastpage

1439

Abstract

Proposes a fuzzy classifier system (FCS) using hyper-cone membership functions and rule reduction techniques. The FCS can generate excellent rules which have the best number of rules and the best location and shape of membership functions. The hyper-cone membership function is expressed by a kind of radial basis function, and its fuzzy rule can be flexibly located in input and output spaces. The rule reduction technique adopts a decreasing method by merging the two appropriate rules. We apply the FCS to a fuzzy rule generation for line pursuit control

Keywords

fuzzy control; fuzzy logic; fuzzy set theory; fuzzy systems; inference mechanisms; knowledge based systems; pattern classification; decreasing method; fuzzy classifier system; fuzzy rule; hyper-cone membership functions; line pursuit control; radial basis function; rule reduction techniques; Automatic generation control; Automation; Fuzzy control; Fuzzy reasoning; Fuzzy systems; Genetics; Merging; Neural networks; Shape; Systems engineering education;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems, 2001. The 10th IEEE International Conference on

Conference_Location

Melbourne, Vic.

Print_ISBN

0-7803-7293-X

Type

conf

DOI

10.1109/FUZZ.2001.1008929

Filename

1008929