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A Fuzzy-logic Generalization of a Data Mining Approach.

Result description

Generalizations of statistical hypotheses testing to vague hypotheses have so far followed the most straightforward way - to replace the set defining the null hypothesis by a fuzzy set. In this paper, a principally different approach is proposed, based on the observational-logic. Its key idea is to view statistical testing of a fuzzy hypothesis as the application of an appropriate generalized quantifier of a fuzzy predicate calculus to predicates describing the data.

Keywords

N/A

The result's identifiers

Alternative languages

  • Result language

    angličtina

  • Original language name

    A Fuzzy-logic Generalization of a Data Mining Approach.

  • Original language description

    Generalizations of statistical hypotheses testing to vague hypotheses have so far followed the most straightforward way - to replace the set defining the null hypothesis by a fuzzy set. In this paper, a principally different approach is proposed, based on the observational-logic. Its key idea is to view statistical testing of a fuzzy hypothesis as the application of an appropriate generalized quantifier of a fuzzy predicate calculus to predicates describing the data.

  • Czech name

  • Czech description

Classification

  • Type

    Jx - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    BA - General mathematics

  • OECD FORD branch

Result continuities

Others

  • Publication year

    2001

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Neural Network World

  • ISSN

    1210-0552

  • e-ISSN

  • Volume of the periodical

    11

  • Issue of the periodical within the volume

    6

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    14

  • Pages from-to

    595-610

  • UT code for WoS article

  • EID of the result in the Scopus database

Basic information

Result type

Jx - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

Jx

CEP

BA - General mathematics

Year of implementation

2001