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A Model of a Diagnostic Rule in the Dempster-Shafer Theory

  • Ewa Straszecka
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4029)

Abstract

In the paper a model of a rule in medical diagnosis is proposed. The Dempster-Shafer theory of evidence and fuzzy sets are implemented in the rule representation. The basic probability assignment describes certainty of the rule. Fuzzy sets model the rule premises. The diagnosis is indicated by the belief and the plausibility measures. Thresholds are used to adjust the significance of the rules and quality of observations. The suggested methods are verified for databases of thyroid gland diseases: the database found in the Internet and individually gathered data, as well as simulated data and the iris plants database.

Keywords

Membership Function Focal Element Certainty Factor Basic Probability Assignment Fuzzy Implication 
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 2006

Authors and Affiliations

  • Ewa Straszecka
    • 1
  1. 1.Institute of ElectronicsSilesian University of TechnologyGliwicePoland

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