AN INTRODUCTION TO DSmT FOR INFORMATION FUSION

Jean Dezert Onera () and Florentin Smarandache ()
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Jean Dezert Onera: The French Aerospace Lab., Chemin de la Hunière, F-91761 Palaiseau Cedex, France
Florentin Smarandache: Math. & Sciences Department, University of New Mexico, 200 College Road, Gallup, NM 87301, USA

New Mathematics and Natural Computation (NMNC), 2012, vol. 08, issue 03, 343-359

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 and approximate reasoning. In this short paper, we present an introduction of our recent theory of plausible and paradoxical reasoning, known as Dezert-Smarandache Theory (DSmT), developed to deal 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.

Keywords: Dezert-Smarandache Theory; DSmT; quantitative and qualitative reasoning; information fusion (search for similar items in EconPapers)
Date: 2012
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DOI: 10.1142/S179300571250007X

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