Original title: Tools for Decision Making under Uncertainty
Authors: Sečkárová, Vladimíra
Document type: Papers
Conference/Event: 20th Annual Conference of Doctoral Students - WDS 2011, Prague (CZ), 2011-05-31 / 2011-06-03
Year: 2011
Language: eng
Abstract: In this paper we focus on two often considered distinct aims, namely maximizing of an utility function (e.g. an investment profit) and getting a more reliable global description of considered situation based on observed data (e.g. the final outcome of databases merging). In both cases we face the problem, that the data are unreliable, since they contain uncertainty caused by their source (i.e. human being). If we are looking for the optimum of the former aim, a game theory reformulation of the decision making task brings a smoother way to reach it. If the latter aim is considered, a merging procedure (also called fusion) processing the data should help us. This paper describes four recently developed methods dealing with decision making under uncertainty in two considered directions and one tool used for comparison of the fusion algorithms.
Keywords: decision making under uncertainty; information fusion
Project no.: CEZ:AV0Z10750506 (CEP), 1M0572 (CEP), 261315/2011, GA102/08/0567 (CEP)
Funding provider: GA MŠk, UK SVV, GA ČR
Host item entry: WDS'11 Proceedings of Contributed Papers: Part I – Mathematics and Computer Sciences, ISBN 978-80-7378-184-2

Institution: Institute of Information Theory and Automation AS ČR (web)
Document availability information: Fulltext is available at external website.
External URL: http://library.utia.cas.cz/separaty/2012/AS/seckarova-tools for decision making under uncertainty.pdf
Original record: http://hdl.handle.net/11104/0203762

Permalink: http://www.nusl.cz/ntk/nusl-118058


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Research > Institutes ASCR > Institute of Information Theory and Automation
Conference materials > Papers