Mathematics and Statistics Faculty and Staff Publications

Document Type

Article

Publication Date

2009

Abstract

The management and combination of uncertain, imprecise, fuzzy and even paradoxical or highly 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), developed for dealing with imprecise, uncertain and conflicting sources of information. We focus our presentation on the foundations of DSmT and on its most important rules of combination, rather than on browsing specific applications of DSmT available in literature. Several simple examples are given throughout this presentation to show the efficiency and the generality of this new theory.

Publisher

American Research Press

Publication Title

F. Smarandache, J. Dezert (Editors), Applications and Advances of DSmT for Information Fusion, Vol. 3, American Research Press, Rehoboth, 2009

Language (ISO)

English

Keywords

Dezert-Smarandache Theory, DSmT, quantitative and qualitative reasoning, information fusion

Creative Commons License

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

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