Measure of certainty with fuzzy entropy function

  • Authors:
  • Sang-Hyuk Lee;Seong-Pyo Cheon;Jinho Kim

  • Affiliations:
  • School of Electrical and Computer Engineering, Pusan National University, Busan, Korea;School of Electrical and Computer Engineering, Pusan National University, Busan, Korea;School of Electrical and Computer Engineering, Pusan National University, Busan, Korea

  • Venue:
  • ICIC'06 Proceedings of the 2006 international conference on Intelligent computing: Part II
  • Year:
  • 2006

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Abstract

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.