A model of a diagnostic rule in the dempster-shafer theory

  • Authors:

  • Ewa Straszecka

  • Affiliations:

  • Institute of Electronics, Silesian University of Technology, Gliwice, Poland

  • Venue:
  • ICAISC'06 Proceedings of the 8th international conference on Artificial Intelligence and Soft Computing
  • Year:
  • 2006

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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.