Fuzzy rules based qualitative modeling

Author

Huang, Pei-Hwa ; Chang, Yu-Shuo

Author_Institution

Dept. of Electr. Eng., Nat. Taiwan Ocean Univ., Keelung, Taiwan

Volume

2

fYear

1996

fDate

8-11 Sep 1996

Firstpage

1261

Abstract

This paper suggests a fuzzy-model-based procedure for deriving the qualitative description of single-input-single-output systems. From the system numerical input-output data, a fuzzy model is first constructed using the mountain method for structure identification and back-propagation for parameter identification. A procedure consisting of a fuzzy clustering method and a rule processing algorithm is proposed for processing the constructed fuzzy model rules to extract the system qualitative properties. An example is given for illustration

Keywords

backpropagation; fuzzy logic; fuzzy set theory; modelling; parameter estimation; backpropagation; fuzzy clustering method; fuzzy rules based qualitative modeling; mountain method; parameter identification; qualitative description; rule processing algorithm; single-input-single-output system; structure identification; Artificial intelligence; Clustering algorithms; Clustering methods; Data mining; Fuzzy control; Fuzzy sets; Fuzzy systems; Oceans; Parameter estimation; Power system modeling;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems, 1996., Proceedings of the Fifth IEEE International Conference on

Conference_Location

New Orleans, LA

Print_ISBN

0-7803-3645-3

Type

conf

DOI

10.1109/FUZZY.1996.552358

Filename

552358