Journal of Biomedical Fuzzy Systems Association
Online ISSN : 2424-2578
Print ISSN : 1345-1537
ISSN-L : 1345-1537
Nonlinear Scaling Factors of Fuzzy Rules and Their Tuning
Mikio MAEDAEiji FUKUMIYAShuta MURAKAMI
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JOURNAL OPEN ACCESS

2000 Volume 2 Issue 1 Pages 47-63

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Abstract
This paper deals with nonlinear scaling factors of the fuzzy controller. As the fuzzy control is generally called the rule-based control, the fuzzy rules for a robust control must be well constructed to enough control the object. Then there exist some problems such as a selection of the object variables and their fuzzy labeling. Therefore, in this paper, by employing the nonlinear scaling factors, the fuzzy rules are realized by the minimum numbers of fuzzy labels. Furthermore, their scaling factors are tuned to be best control rules. Finally, the usefulness of this method is discussed from the control simulations.
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© 2000 Biomedical Fuzzy Systems Association
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