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A Fuzzy Logic Framework for Testing Vague Hypotheses with Empirical Data.

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F01%3A06010165" target="_blank" >RIV/67985807:_____/01:06010165 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    A Fuzzy Logic Framework for Testing Vague Hypotheses with Empirical Data.

  • Original language 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.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    BA - General mathematics

  • OECD FORD branch

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2001

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Soft Copmuting and Intelligent Systems for Industry.

  • ISBN

    3-906454-27-4

  • ISSN

  • e-ISSN

  • Number of pages

    7

  • Pages from-to

    "X1"-"X5"

  • Publisher name

    ICSI-NAISO Academic Press

  • Place of publication

    Canada

  • Event location

    Paisley [GB]

  • Event date

    Jun 26, 2001

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article