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Description
  • Hypothesis testing consists in checking the null hypothesis that the probability distribution, a priori assumed to belong to some broad 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. That is when vague hypotheses need to be tested.
  • Hypothesis testing consists in checking the null hypothesis that the probability distribution, a priori assumed to belong to some broad 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. That is when vague hypotheses need to be tested. (en)
Title
  • A Fuzzy Logic Framework for Testing Vague Hypotheses with Empirical Data.
  • A Fuzzy Logic Framework for Testing Vague Hypotheses with Empirical Data. (en)
skos:prefLabel
  • A Fuzzy Logic Framework for Testing Vague Hypotheses with Empirical Data.
  • A Fuzzy Logic Framework for Testing Vague Hypotheses with Empirical Data. (en)
skos:notation
  • RIV/67985807:_____/01:06010165!RIV/2003/AV0/A06003/N
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  • X1-X5
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  • P(GA201/00/1489), P(OC 274.001), Z(AV0Z1030915)
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  • 672129
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  • RIV/67985807:_____/01:06010165
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  • data analysis; - vague hypotheses; - vague significance level; - fuzzy predicate calculus; - basic fuzzy logic; - generalized quantifiers; - method Guha (en)
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  • [CC4CD81FC145]
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  • Paisley [GB]
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  • Canada
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  • Soft Copmuting and Intelligent Systems for Industry.
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  • Holeňa, Martin
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number of pages
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  • ICSI-NAISO Academic Press
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  • 3-906454-27-4
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