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.
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publications.gc.ca/pub?id=9.881593&sl=0
| Department/Agency | Canada. Defence R&D Canada. Defence R&D Canada - Valcartier. |
|---|---|
| Title | 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. |
| Series title | Technical report ; DRDC Valcartier TR 2010-224 |
| Publication type | Series - View Master Record |
| Language | [English] |
| Format | Electronic |
| Electronic document | |
| Note(s) | "April 2014." Includes bibliographical references (pages 37-38). Includes abstracts and summaries in English and French. |
| Publishing information | Quebec (Quebec) : Defence Research and Development Canada - Valcartier, 2014. ©2014 |
| Author / Contributor | Doré, Pierre-Emmanuel, author. |
| Description | 1 online resource (ii, x, 50 pages, 2 unnumbered pages) : illustrations (some colour). |
| Catalogue number |
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| Subject terms | Rescue Models |