00000nam 2200000zi 4500 9.881593 CaOODSP 20240219183524 m o d f cr cn||||||||| 191104t20142014quca ob f000 0 eng d CaOODSP eng rda CaOODSP eng eng fre D68-4/224-2014E-PDF Doré, Pierre-Emmanuel, author. 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. Quebec (Quebec) : Defence Research and Development Canada - Valcartier, 2014. ©2014 1 online resource (ii, x, 50 pages, 2 unnumbered pages) : illustrations (some colour). text txt rdacontent computer c rdamedia online resource cr rdacarrier Technical report ; DRDC Valcartier TR 2010-224 "April 2014." Includes bibliographical references (pages 37-38). "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. Includes abstracts and summaries in English and French. gccst Rescue gccst Models Defence R&D Canada. Defence R&D Canada - Valcartier. Technical report (Defence R&D Canada) DRDC Valcartier TR 2010-224. (CaOODSP)9.820558 PDF 1.77 MB https://publications.gc.ca/collections/collection_2019/rddc-drdc/D68-4-224-2014-eng.pdf