Modeling and combining information within belief functions theory in search and rescue applications / Pierre-Emmanuel Doré, Irène Abi-Zeid, Anne-Laure Jousselme, Arnaud Martin, Patrick Maupin. : D68-4/224-2014E-PDF

"In this report, we study the expressiveness of the theory of belief functions in the particular case of Search And Rescue (SAR) operations. The theory of belief functions is a mathematical framework, which is used, as the probabilities, to represent the imperfections of a source of information. These imperfections are of different natures: reliability, vagueness, uncertainty, to name only a few. Representing and dealing with these imperfections in a SAR context is a major issue especially when one needs to combine and update information coming from heterogeneous and subjective sources. After having reminded some background results of the theory of optimal search, we have suggested some approaches of the SAR problem founded on the theory of belief functions"--Abstract, page i.

Lien permanent pour cette publication :
publications.gc.ca/pub?id=9.881593&sl=1

Renseignements sur la publication
Ministère/Organisme Canada. Defence R&D Canada.
Defence R&D Canada - Valcartier.
Titre Modeling and combining information within belief functions theory in search and rescue applications / Pierre-Emmanuel Doré, Irène Abi-Zeid, Anne-Laure Jousselme, Arnaud Martin, Patrick Maupin.
Titre de la série Technical report ; DRDC Valcartier TR 2010-224
Type de publication Série - Voir l'enregistrement principal
Langue [Anglais]
Format Électronique
Document électronique
Note(s) "April 2014."
Includes bibliographical references (pages 37-38).
Includes abstracts and summaries in English and French.
Information sur la publication Quebec (Quebec) : Defence Research and Development Canada - Valcartier, 2014.
©2014
Auteur / Contributeur Doré, Pierre-Emmanuel, author.
Description 1 online resource (ii, x, 50 pages, 2 unnumbered pages) : illustrations (some colour).
Numéro de catalogue
  • D68-4/224-2014E-PDF
Descripteurs Rescue
Models
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