Title :
Fuzzy reasoning method for smooth interpolation
Author :
Nakamura, S. ; Uchino, E ; Yamakawa, T.
Author_Institution :
Kyushu Inst. of Technol., Fukuoka, Japan
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;
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
DOI :
10.1109/ANNES.1995.499454
