Artificial Intelligence

1008 Submissions

[2] viXra:1008.0067 [pdf] submitted on 13 Mar 2010

Target Type Tracking with a new Probabilistic Belief Transformation

Authors: Jean Dezert, Florentin Smarandache, Albena Tchamova, Pavlina Konstantinova
Comments: 8 pages

Abstract-In this paper we analyze the performances of a new probabilistic belief transformation, denoted DSmP, for the sequential estimation of target ID from classifier outputs in the Target Type Tracking problem (TTT). We complicate here a bit the TTT problem by considering three types of targets (Interceptor, Fighter and Cargo) and show through Monte-Carlo simulations the advantages of DSmP over the classical pignistic transformation which is classically used for decision-making under uncertainty when dealing with belief assignments. Based on our previous works for the justification of rules of combination for TTT problem, only the Proportional Conflict Redistribution rule and the hybrid fusion rules are considered in this work for their ability to deal consistently with high conflicting sources of evidence with three different belief assignment modelings.
Category: Artificial Intelligence

[1] viXra:1008.0026 [pdf] replaced on 15 Aug 2010

Threat Assessment of a Possible Vehicle-Borne Improvised Explosive Device Using DSmT

Authors: Jean Dezert, Florentin Smarandache
Comments: 26 pages

This paper presents the solution about the threat of a VBIED (Vehicle-Borne Improvised Explosive Device) obtained with the DSmT (Dezert-Smarandache Theory). This problem has been proposed recently to the authors by Simon Maskell and John Lavery as a typical illustrative example to try to compare the different approaches for dealing with uncertainty for decision-making support. The purpose of this paper is to show in details how a solid justified solution can be obtained from DSmT approach and its fusion rules thanks to a proper modeling of the belief functions involved in this problem.
Category: Artificial Intelligence