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Evidential Reasoning in Nuclear Waste Management

  • Athena Tocatlidou
Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 76)

Abstract

The problem of the management and disposal of nuclear waste is a complex decision making procedure dealing with different types of uncertainty, and relies to a considerable extend to domain experts judgm ent for the formation of rules and the relevant knowledge. The present work proposes a system that provides a generic and flexible way to model and support that decision. Evidence theory and fuzzy sets offe r convenient f ormalisms to handle the uncertain info rmation, and the evidential support logic mechanism is used to capture expert reasoning. For the problem ofupdating the existing knowledge is described an algorithm that extends fuzzy info rmation in the presence of new evidence. An index related to the conceptual distance of the two fuzzy entities can be used as a parameter in the algorithm.

Keywords

Radioactive Waste Nuclear Waste Evidential Reasoning Evidence Theory Probability Interval 
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

© Physica-Verlag Heidelberg 2001

Authors and Affiliations

  • Athena Tocatlidou
    • 1
  1. 1.Department of Information and Communications SystemsUniversity of the AegeanKarlovassi, SamosGreece

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