Generating crisp-type fuzzy models from operating data

Author

Chen, Cheng-Liang ; Hsu, Shuo-Huan ; Hsieh, Chung-Tyan ; Lin, Wen-Kuei

Author_Institution

Dept. of Chem. Eng., Nat. Taiwan Univ., Taipei, Taiwan

Volume

1

fYear

1998

fDate

4-9 May 1998

Firstpage

686

Abstract

A simple method for generating a multiple-input/single-output crisp-type fuzzy model from observed data is presented. The crisp-type fuzzy model is composed of triangular fuzzy partitions for inputs and singletons for the output. An explicit input-output equation of the crisp-type fuzzy model is supplied. For a set of observed input/output data pairs, the structure and the parameters of a suitable fuzzy model with required accuracy can be determined by a series of algebraic computations. Numerical examples are given to demonstrate the effectiveness of the proposed identification method for modeling static and dynamic data

Keywords

fuzzy set theory; identification; modelling; algebraic computations; dynamic data; explicit input-output equation; multiple-input/single-output crisp-type fuzzy model; operating data; singletons; static data; triangular fuzzy partitions; Fuzzy sets; Input variables; Sampling methods; Structural engineering; Training data;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems Proceedings, 1998. IEEE World Congress on Computational Intelligence., The 1998 IEEE International Conference on

Conference_Location

Anchorage, AK

ISSN

1098-7584

Print_ISBN

0-7803-4863-X

Type

conf

DOI

10.1109/FUZZY.1998.687571

Filename

687571