A characteristic-point-based fuzzy inference system

Author

Yin, Tang-Kai ; Lee, C. S George

Author_Institution

Sch. of Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN, USA

fYear

1996

fDate

11-14 Dec 1996

Firstpage

533

Lastpage

538

Abstract

A fuzzy inference system (FIS), called characteristic point based fuzzy inference system (CPFIS), is proposed to model the input output relationship of a complex system. It is observed that the inference operations of FISs are based on the interpolations among the fuzzy rules which emulate the summarizing ability of human beings. The proposed CPFIS provides a systematic method to constructing FISs via the interpolation property with two distinct features: maximum and minimum fuzzy rules which are related to the interpolation property of human reasoning, and their employment for the interpolation property, resulting in a small sized fuzzy rule base for high dimensional systems

Keywords

fuzzy set theory; inference mechanisms; knowledge based systems; multidimensional systems; uncertainty handling; CPFIS; FISs; characteristic point based fuzzy inference system; complex system; fuzzy rules; high dimensional systems; human reasoning; inference operations; input output relationship; interpolation property; interpolations; small sized fuzzy rule base; summarizing ability; systematic method; Classification tree analysis; Employment; Fuzzy reasoning; Fuzzy systems; Humans; Interpolation; Marine vehicles; Prototypes; Resonance; Subspace constraints;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems Symposium, 1996. Soft Computing in Intelligent Systems and Information Processing., Proceedings of the 1996 Asian

Conference_Location

Kenting

Print_ISBN

0-7803-3687-9

Type

conf

DOI

10.1109/AFSS.1996.583691

Filename

583691