Method for fuzzy rules extraction from numerical data

Author

Mikhailov, L. ; Nabout, A. ; Lekova, A. ; Fischer, F. ; Eldin, H. A Nour

Author_Institution

Dept. of Electr. Eng., Wuppertal Univ., Germany

fYear

1997

fDate

16-18 Jul 1997

Firstpage

61

Lastpage

66

Abstract

A method for extraction of fuzzy rules from numerical input-output data is proposed. The main idea consists in separation of the input space into activation rectangles, corresponding to different output intervals. The generation of fuzzy rules and membership functions is based on these activation rectangles, whereas an appropriate fuzzy rules inference mechanism is proposed. The method formalises the synthesis of the fuzzy system and could be used for function approximation, classification and control purposes. An illustrative example for implementation of the method for synthesis of traffic fuzzy control is given

Keywords

fuzzy logic; inference mechanisms; knowledge acquisition; I/O data; activation rectangles; classification; function approximation; fuzzy rules extraction; fuzzy rules inference mechanism; fuzzy system synthesis; input space separation; membership functions; numerical input-output data; output intervals; traffic fuzzy control; Automatic control; Control system synthesis; Control systems; Cybernetics; Data mining; Function approximation; Fuzzy control; Fuzzy sets; Fuzzy systems; Inference mechanisms;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control, 1997. Proceedings of the 1997 IEEE International Symposium on

Conference_Location

Istanbul

ISSN

2158-9860

Print_ISBN

0-7803-4116-3

Type

conf

DOI

10.1109/ISIC.1997.626414

Filename

626414