An Introduction to the DSm Theory for the Combination of Paradoxical, Uncertain, and Imprecise Sources of Information

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dc.creatorSmarandache, Florentin
dc.creatorDezert, Jean
dc.date2006-08-01
dc.date.accessioned2026-07-07T07:19:55Z
dc.date.available2026-07-07T07:19:55Z
dc.descriptionThe management and combination of uncertain, imprecise, fuzzy and even paradoxical or high conflicting sources of information has always been, and still remains today, of primal importance for the development of reliable modern information systems involving artificial reasoning. In this introduction, we present a survey of our recent theory of plausible and paradoxical reasoning, known as Dezert-Smarandache Theory (DSmT) in the literature, developed for dealing with imprecise, uncertain and paradoxical sources of information. We focus our presentation here rather on the foundations of DSmT, and on the two important new rules of combination, than on browsing specific applications of DSmT available in literature. Several simple examples are given throughout the presentation to show the efficiency and the generality of this new approach.
dc.description21 pages, many tables, figures. To appear in Information&Security International Journal, 2006
dc.identifierhttps://arxiv.org/abs/cs/0608002
dc.identifierhttp://arxiv.org/abs/cs/0608002
dc.identifierPresented at 13th International Congress of Cybernetics and Systems, Maribor, Slovenia, July 6-10, 2005.
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/114808
dc.subjectArtificial Intelligence
dc.subjectI.4.8
dc.titleAn Introduction to the DSm Theory for the Combination of Paradoxical, Uncertain, and Imprecise Sources of Information
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