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.
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© 2001 Physica-Verlag Heidelberg
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Tocatlidou, A. (2001). Evidential Reasoning in Nuclear Waste Management. In: Ruan, D., Kacprzyk, J., Fedrizzi, M. (eds) Soft Computing for Risk Evaluation and Management. Studies in Fuzziness and Soft Computing, vol 76. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1814-7_17
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DOI: https://doi.org/10.1007/978-3-7908-1814-7_17
Publisher Name: Physica, Heidelberg
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