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Consistency Conditions of the Expert Rule Set in the Probabilistic Pattern Recognition

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Computational and Information Science (CIS 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3314))

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Abstract

The present paper is devoted to the pattern recognition procedure based on the set of expert rules with unprecisely formulated weights understood as appropriate probabilities. Adopting the probabilistic model the different interpretations of rule weight are discussed and the consistency conditions of set of rules are given.

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Author information

Authors and Affiliations

  1. Faculty of Electronics, Chair of Systems and Computer Networks, Wroclaw University of Technology, Wyb. Wyspianskiego 27, 50-370, Wroclaw, Poland

    Marek W. Kurzynski

Authors
  1. Marek W. Kurzynski
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Editor information

Editors and Affiliations

  1. School of Electronic Science and Technology, Anhui University, Hefei, Anhui, China

    Jun Zhang

  2. College of Science, Donghua University, 1882 Yan’an Xilu Road, 20051, Shanghai, China

    Ji-Huan He

  3. BASICS, Department of Computer Science and Engineering, Shanghai Jiao Tong University, 200030, Shanghai, China

    Yuxi Fu

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© 2004 Springer-Verlag Berlin Heidelberg

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Kurzynski, M.W. (2004). Consistency Conditions of the Expert Rule Set in the Probabilistic Pattern Recognition. In: Zhang, J., He, JH., Fu, Y. (eds) Computational and Information Science. CIS 2004. Lecture Notes in Computer Science, vol 3314. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30497-5_129

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  • DOI: https://doi.org/10.1007/978-3-540-30497-5_129

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-24127-0

  • Online ISBN: 978-3-540-30497-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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