Similarity measure construction using fuzzy entropy and distance measure

  • Authors:
  • Sang-Hyuk Lee;Jang-Mok Kim;Young-Kiu Choi

  • 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

The similarity measure is derived using fuzzy entropy and distance measure. By the relations of fuzzy entropy, distance measure, and similarity measure, we first obtain the fuzzy entropy. And with both fuzzy entropy and distance measure, similarity measure is obtained. We verify that the proposed measure become the similarity measure.