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Statistical Estimations of Lattice-Valued Possibilistic Distributions
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SYSNO ASEP 0361642 Druh ASEP C - Konferenční příspěvek (mezinárodní konf.) Zařazení RIV D - Článek ve sborníku Název Statistical Estimations of Lattice-Valued Possibilistic Distributions Tvůrce(i) Kramosil, Ivan (UIVT-O) SAI
Daniel, Milan (UIVT-O) RID, SAI, ORCIDZdroj.dok. Symbolic and Quantitative Approaches to Reasoning with Uncertainty. - Heidelberg : Springer, 2011 / Liu W. - ISSN 0302-9743 - ISBN 978-3-642-22151-4 Rozsah stran s. 688-699 Poč.str. 12 s. Akce ECSQARU 2011. European Conference /11./ Datum konání 29.06.2011-01.07.2011 Místo konání Belfast Země GB - Velká Británie Typ akce WRD Jazyk dok. eng - angličtina Země vyd. DE - Německo Klíč. slova complete lattice ; upper-valued semilattice ; lattice-valued possibilistic distribution ; random samples from upper-valued semilattices ; probabilistic algorithms ; Monte-Carlo methods Vědní obor RIV BA - Obecná matematika CEP GEICC/08/E018 GA ČR - Grantová agentura ČR GAP202/10/1826 GA ČR - Grantová agentura ČR CEZ AV0Z10300504 - UIVT-O (2005-2011) EID SCOPUS 79960114675 DOI 10.1007/978-3-642-22152-1_58 Anotace The most often applied non-numerical uncertainty degrees are those taking their values in complete lattices, but also their weakened versions may be of interest. In what follows, we introduce and analyze possibilistic distributions and measures taking values in finite upper-valued possibilistic lattices, so that only for finite sets of such values their supremum is defined. For infinite sets of values of the finite lattice in question we apply the idea of the so called Monte-Carlo method: sample at random and under certain conditions a large enough finite subset of the infinite set in question, and take the supremum over this finite sample set as a "good enough" estimation of the undefined supremum of the infinite set. A number of more or less easy to prove assertions demonstrate the conditions when and in which sense the quality of the results obtained by replacing non-existing or non-accessible supremum values by their random estimations tend to the optimum results supposing that the probabilistic qualities of the statistical estimations increase as demanded by Monte-Carlo methods. Pracoviště Ústav informatiky Kontakt Tereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800 Rok sběru 2012
Počet záznamů: 1