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  3. Vol. 6 No. 4 (2002)
  4. GENETIC TUNING FUZZY DEMPSTER-SHAFER DECISION RULES

GENETIC TUNING FUZZY DEMPSTER-SHAFER DECISION RULES

Abstract

The objective of this paper is to employ the Dempster-Shafer theory (DST) as a vehicle supporting the generation of fuzzy decision rules. The concept of fuzzy granulation realized via fuzzy clustering is aimed at the discretization of continuous attributes. Next we use Genetic for tuning fuzzy decision rules. Detailed experimental studies are presented concerning well-known medical data sets available on the Web.

Keywords:

genetic algorithms, fuzzy modelling, Dempster-Shafer theory

Details

Issue
Vol. 6 No. 4 (2002)
Section
Research article
Published
2002-12-29
Licencja:
Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Author Biographies

JAROSŁAW S. WALIJEWSKI,
Technical University of Bialystok, Department of Computer Science



ZENON A. SOSNOWSKI,
Technical University of Bialystok, Department of Computer Science



Authors

  • JAROSŁAW S. WALIJEWSKI

    Technical University of Bialystok, Department of Computer Science

  • ZENON A. SOSNOWSKI

    Technical University of Bialystok, Department of Computer Science

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