Abstract
In this paper we survey the relation between fuzzy entropy measure and similarity measure. Each measure has data uncertainty and similarity. By the one-to-one correspondence, distance measure and similarity measure have complementary characteristics. First we construct similarity measure using distance measure. Verification of usefulness is proved. Furthermore analysis of similarity measure from fuzzy entropy measure is also discussed.
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Lee, S., Kim, S., Lee, D. (2008). Comparative Study with Fuzzy Entropy and Similarity Measure: One-to-One Correspondence. In: Huang, DS., Wunsch, D.C., Levine, D.S., Jo, KH. (eds) Advanced Intelligent Computing Theories and Applications. With Aspects of Contemporary Intelligent Computing Techniques. ICIC 2008. Communications in Computer and Information Science, vol 15. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85930-7_18
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DOI: https://doi.org/10.1007/978-3-540-85930-7_18
Publisher Name: Springer, Berlin, Heidelberg
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