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Reliable Data Selection with Fuzzy Entropy

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Fuzzy Systems and Knowledge Discovery (FSKD 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3613))

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Abstract

In this paper, the selection of a data set from a universal set is carried out using a fuzzy entropy function. According to the definition of fuzzy entropy, the fuzzy entropy function is proposed and that function is proved through definitions. The proposed fuzzy entropy function calculates the certainty or uncertainty value of a data set; hence we can choose the data set that satisfies certain bounds or references. Therefore a reliable data set can be obtained using the proposed fuzzy entropy function. With a simple example we verify that the proposed fuzzy entropy function selects the reliable data set.

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Author information

Authors and Affiliations

  1. School of Electrical and Computer Engineering, Pusan National University, Changjeon-dong, Busan, 609-735, Korea

    Sang-Hyuk Lee, Youn-Tae Kim, Seong-Pyo Cheon & Sungshin Kim

Authors
  1. Sang-Hyuk Lee
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  2. Youn-Tae Kim
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  3. Seong-Pyo Cheon
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  4. Sungshin Kim
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Editor information

Editors and Affiliations

  1. School of Electrical and Electronic Engineering, Nanyang Technological University, Block S1, Nanyang Avenue, 639798, Singapore

    Lipo Wang

  2. Honda Research Institute Europe GmbH, Offenbach/Main, Germany

    Yaochu Jin

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© 2005 Springer-Verlag Berlin Heidelberg

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Lee, SH., Kim, YT., Cheon, SP., Kim, S. (2005). Reliable Data Selection with Fuzzy Entropy. In: Wang, L., Jin, Y. (eds) Fuzzy Systems and Knowledge Discovery. FSKD 2005. Lecture Notes in Computer Science(), vol 3613. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11539506_27

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  • DOI: https://doi.org/10.1007/11539506_27

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28312-6

  • Online ISBN: 978-3-540-31830-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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