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Towards a Supra-Bayesian Approach to Merging of Information
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SYSNO ASEP 0368326 Druh ASEP C - Konferenční příspěvek (mezinárodní konf.) Zařazení RIV D - Článek ve sborníku Název Towards a Supra-Bayesian Approach to Merging of Information Tvůrce(i) Sečkárová, Vladimíra (UTIA-B) RID Celkový počet autorů 1 Zdroj.dok. 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 - ISBN 978-80-903834-6-3 Rozsah stran s. 81-86 Poč.str. 6 s. Akce 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) Datum konání 16.12.2011-16.12.2011 Místo konání Sierra Nevada Země ES - Španělsko Typ akce WRD Jazyk dok. eng - angličtina Země vyd. CZ - Česká republika Klíč. slova decision makers ; Supra-Bayesian ; Bayesian solution ; Merging Vědní obor RIV BB - Aplikovaná statistika, operační výzkum CEP 1M0572 GA MŠMT - Ministerstvo školství, mládeže a tělovýchovy GA102/08/0567 GA ČR - Grantová agentura ČR CEZ AV0Z10750506 - UTIA-B (2005-2011) Anotace 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. Pracoviště Ústav teorie informace a automatizace Kontakt Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201. Rok sběru 2012
Počet záznamů: 1