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Fuzzy Hypotheses Testing in the Framework of Fuzzy Logic
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SYSNO ASEP 0103265 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Článek ve WOS Title Fuzzy Hypotheses Testing in the Framework of Fuzzy Logic Title Testování fuzzy hypotéz v rámci fuzzy logiky Author(s) Holeňa, Martin (UIVT-O) SAI, RID, ORCID Source Title Fuzzy Sets and Systems. - : Elsevier - ISSN 0165-0114
Roč. 145, - (2004), s. 229-252Number of pages 24 s. Language eng - English Country NL - Netherlands Keywords non-classical logics ; fuzzy predicate calculus ; basic fuzzy logic ; generalized quantifiers ; fuzzy statistics and data analysis ; vague hypotheses ; vague significance level ; method Guha Subject RIV BB - Applied Statistics, Operational Research R&D Projects IAA1030004 GA AV ČR - Academy of Sciences of the Czech Republic (AV ČR) OC 274.001 GA MŠMT - Ministry of Education, Youth and Sports (MEYS) CEZ AV0Z1030915 - UIVT-O UT WOS 000222207300003 EID SCOPUS 2942560785& DOI https://doi.org/10.1016/S0165-0114(03)00208-2 Annotation Testing hypotheses about the probability distribution underlying the available empirical data is one of the fundamental data-analytic tasks in any application domain. Basically, it consists in checking the null hypothesis that the probability distribution, a priori assumed to belong to a certain a priori delimited set of distributions, actually belongs to some its narrow subset, which must be precisely delimited in advance. However, sometimes there are not enough clues for such a precise delimitation, especially if the purpose of the data analysis is explorative, a situation encountered increasingly often, due to the growing amount of routinely collected data and the increasing importance od data mining. That is why generalizations of statistical hypotheses testing to vague hypotheses have been investigated for more than a decade, so far based on the most straightforward approach - to replace the set defining the null hypothesis by a fuzzy set. In this paper, a principally different... Workplace Institute of Computer Science Contact Tereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800 Year of Publishing 2005
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