An approach for environmental impact assessment
CIMMACS'06 Proceedings of the 5th WSEAS International Conference on Computational Intelligence, Man-Machine Systems and Cybernetics
On the Credal Structure of Consistent Probabilities
JELIA '08 Proceedings of the 11th European conference on Logics in Artificial Intelligence
Multi-camera people tracking using evidential filters
International Journal of Approximate Reasoning
Application notes: MEBRA: multiobjective evolutionary-based risk assessment
IEEE Computational Intelligence Magazine
Shape from silhouette using Dempster-Shafer theory
Pattern Recognition
A new linguistic MCDM method based on multiple-criterion data fusion
Expert Systems with Applications: An International Journal
Risk analysis in a linguistic environment: A fuzzy evidential reasoning-based approach
Expert Systems with Applications: An International Journal
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Whereas probability theory has been very successful as a conceptual framework for risk analysis in many areas where a lot of experimental data and expert knowledge are available, it presents certain limitations in applications where only weak information can be obtained. One such application investigated in this paper is water treatment, a domain in which key information such as input water characteristics and failure rates of various chemical processes is often lacking. An approach to handle such problems is proposed, based on the Dempster-Shafer theory of belief functions. Belief functions are used to describe expert knowledge of treatment process efficiency, failure rates, and latency times, as well as statistical data regarding input water quality. Evidential reasoning provides mechanisms to combine this information and assess the plausibility of various noncompliance scenarios. This methodology is shown to boil down to the probabilistic one where data of sufficient quality are available. This case study shows that belief function theory may be considered as a valuable framework for risk analysis studies in ill-structured or poorly informed application domains