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
The result's identifiers
Result code in IS VaVaI
Result on the web
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DOI - Digital Object Identifier
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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
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Czech description
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Classification
Type
Jx - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
BA - General mathematics
OECD FORD branch
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Result continuities
Project
IAA1030004: Mathematical foundations of inference under vagueness and uncertainty
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
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
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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
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EID of the result in the Scopus database
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Basic information
Result type
Jx - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP
BA - General mathematics
Year of implementation
2001