Počet záznamů: 1

Towards a Supra-Bayesian Approach to Merging of Information

  1. 1.
    0368326 - UTIA-B 2012 RIV CZ eng C - Konferenční příspěvek (zahraniční konf.)
    Sečkárová, Vladimíra
    Towards a Supra-Bayesian Approach to Merging of Information.
    The 2nd International Workshop od Decision Making with Multiple Imperfect Decision Makers. Held in Conjunction with the 25th Annual Conference on Neural Information Processing Systems (NIPS 2011). Prague: Institute of Information Theory and Automation, 2011, s. 81-86. ISBN 978-80-903834-6-3.
    [The 2nd International Workshop od Decision Making with Multiple Imperfect Decision Makers. Held in Conjunction with the 25th Annual Conference on Neural Information Processing Systems (NIPS 2011). Sierra Nevada (ES), 16.12.2011-16.12.2011]
    Grant CEP: GA MŠk 1M0572; GA ČR GA102/08/0567
    Výzkumný záměr: CEZ:AV0Z10750506
    Klíčová slova: decision makers * Supra-Bayesian * Bayesian solution * Merging
    Kód oboru RIV: BB - Aplikovaná statistika, operační výzkum
    http://library.utia.cas.cz/separaty/2011/AS/seckarova-towards a supra-bayesian approach to merging of information.pdf http://library.utia.cas.cz/separaty/2011/AS/seckarova-towards a supra-bayesian approach to merging of information.pdf

    Merging of information given by different decision makers (DMs) has become a much discussed topic in recent years and many procedures were developed towards it. The main and the most discussed problem is the incompleteness of given information. Little attention is paid to the possible forms in which the DMs provide them; in most of cases arising procedures are working only for a particular type of information. Recently introduced Supra-Bayesian approach to merging of information brings a solution to two previously mentioned problems. All is based on a simple idea of unifying all given information into one form and treating the possible incompleteness. In this article, beside a brief repetition of the method, we show, that the constructed merger of information reduces to the Bayesian solution if information calls for this.
    Trvalý link: http://hdl.handle.net/11104/0202703