C1 Class Smooth Fuzzy Interpolation
Summary :
C1 class smooth interpolation by a fuzzy reasoning for a small data set is proposed. The drafting technique of a human expert is implemented by using a set of fuzzy rules. The effectiveness of the present method is verified by computer simulations and by applications to the practical interpolation problem in a power system.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E79-A No.9 pp.1512-1514
- Publication Date
- 1996/09/25
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- LETTER
- Category
- Systems and Control
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Keyword
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Shin NAKAMURA, Eiji UCHINO, Takeshi YAMAKAWA, "C1 Class Smooth Fuzzy Interpolation" in IEICE TRANSACTIONS on Fundamentals,
vol. E79-A, no. 9, pp. 1512-1514, September 1996, doi: .
Abstract: C1 class smooth interpolation by a fuzzy reasoning for a small data set is proposed. The drafting technique of a human expert is implemented by using a set of fuzzy rules. The effectiveness of the present method is verified by computer simulations and by applications to the practical interpolation problem in a power system.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e79-a_9_1512/_p
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@ARTICLE{e79-a_9_1512,
author={Shin NAKAMURA, Eiji UCHINO, Takeshi YAMAKAWA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={C1 Class Smooth Fuzzy Interpolation},
year={1996},
volume={E79-A},
number={9},
pages={1512-1514},
abstract={C1 class smooth interpolation by a fuzzy reasoning for a small data set is proposed. The drafting technique of a human expert is implemented by using a set of fuzzy rules. The effectiveness of the present method is verified by computer simulations and by applications to the practical interpolation problem in a power system.},
keywords={},
doi={},
ISSN={},
month={September},}
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TY - JOUR
TI - C1 Class Smooth Fuzzy Interpolation
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1512
EP - 1514
AU - Shin NAKAMURA
AU - Eiji UCHINO
AU - Takeshi YAMAKAWA
PY - 1996
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E79-A
IS - 9
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - September 1996
AB - C1 class smooth interpolation by a fuzzy reasoning for a small data set is proposed. The drafting technique of a human expert is implemented by using a set of fuzzy rules. The effectiveness of the present method is verified by computer simulations and by applications to the practical interpolation problem in a power system.
ER -
English
