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A GA Optimization for FLC with Its Rule Base and Scaling Factors Adjustment Read chapter Read first chapter

2006 | OriginalPaper | Chapter

Measure of Certainty with Fuzzy Entropy Function

Published in: Computational Intelligence

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To measure the certainty, we use the meaning of entropy. For the selection of reliable data, fuzzy entropy through distance measure is proposed. The appropriateness of the proposed entropy is verified by the definition of entropy measure. To measure the fuzziness of 3-phase stator currents, membership functions are obtained by the Bootstrap method. Finally, the proposed entropy is applied to the membership function of 3-phase currents, and the fuzzy entropy values of phase current each are illustrated.

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Metadata
Title
Measure of Certainty with Fuzzy Entropy Function
Copyright Year
2006
Book
Computational Intelligence

Print ISBN: 978-3-540-37274-5

Electronic ISBN: 978-3-540-37275-2

Copyright Year: 2006

DOI
https://doi.org/10.1007/11816171_17

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