Proceedings of the Korean Institute of Intelligent Systems Conference (한국지능시스템학회:학술대회논문집)

Korean Institute of Intelligent Systems (한국지능시스템학회)
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Feature extraction with distance measures and fuzzy entropy

  • Lee, Sang-Hyuk (School of Electrical Engineering, Pusan National University) ;
  • Kim, Sung-Shin (School of Electrical Engineering, Pusan National University) ;
  • Hyeon Bae (School of Electrical Engineering, Pusan National University) ;
  • Kim, Youn-Tae (School of Electrical Engineering, Pusan National University)
  • Published : 2003.09.01
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Abstract

Representation and quantification of fuzziness are required for the uncertain system modelling and controller design. Conventional results show that entropy of fuzzy sets represent the fuzziness of fuzzy sets. In this literature, the relations of fuzzy enropy, distance measure and similarity measure are discussed, and distance measure is proposed. With the help of relations of fuzzy entropy, distance measure and similarity measure, fuzzy entropy is proposed by the distance measure. Finally, proposed entropy is applied to measure the fault signal of induction machine.

Keywords