Fuzzy reasoning method for smooth interpolation

Author

Nakamura, S. ; Uchino, E ; Yamakawa, T.

Author_Institution

Kyushu Inst. of Technol., Fukuoka, Japan

fYear

1995

Firstpage

120

Lastpage

123

Abstract

The paper describes a fuzzy reasoning method whose result belongs to the C¹ class. The proposed fuzzy reasoning method refers to interpolation by man. We suppose that humans consider two directions while interpolating. A direction of fluctuation at a given point is one, and a direction toward neighboring data is the other. Both directions are reflected in the consequent part of the fuzzy rule. It is not necessary to give them as knowledge, these are only decided as given data pairs. Even if new data is given, if is not necessary to increase a rule. The reasoning result can correspond to new data without increasing a rule. The effectiveness of the present method as verified by applications to practical data and by computer simulations

Keywords

digital simulation; fuzzy set theory; inference mechanisms; interpolation; simulation; computer simulations; data pairs; fluctuation; fuzzy reasoning method; fuzzy rule; humans; neighboring data; practical data; smooth interpolation; Application software; Control system synthesis; Fluctuations; Fuzzy logic; Fuzzy reasoning; Fuzzy systems; Humans; Interpolation; Robots; Static VAr compensators;

fLanguage

English

Publisher

ieee

Conference_Titel

Artificial Neural Networks and Expert Systems, 1995. Proceedings., Second New Zealand International Two-Stream Conference on

Conference_Location

Dunedin

Print_ISBN

0-8186-7174-2

Type

conf

DOI

10.1109/ANNES.1995.499454

Filename

499454