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Classification Accuracy in Local Optimal Strategy of Multistage Recognition with Fuzzy Data

  • Robert Burduk
Part of the Advances in Soft Computing book series (AINSC, volume 45)

Abstract

The paper deals with the multistage recognition task. In this problem of recognition the Bayesian statistic is applied. The decision rules minimize the mean risk, that is the mean value of the zero-one loss function. The information on objects features is fuzzy or non-fuzzy. The probability of misclassification for local optimal strategy and the difference between probability of misclassification for the both information’s are presented. Simple example of this difference conclude the work.

Keywords

Decision Rule Fuzzy Number Fuzzy Triangular Number Bayesian Statistic Fuzzy Information 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Robert Burduk
    • 1
  1. 1.Chair of Systems and Computer NetworksWroclaw University of TechnologyWroclawPoland

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