Propagation of Uncertainty Expressed in Intervals on the Confidence of Fuzzy Association Rules
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F19%3AA2001Z54" target="_blank" >RIV/61988987:17610/19:A2001Z54 - isvavai.cz</a>
Result on the web
<a href="http://ebooks.iospress.nl/publication/52993" target="_blank" >http://ebooks.iospress.nl/publication/52993</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3233/FAIA190182" target="_blank" >10.3233/FAIA190182</a>
Alternative languages
Result language
angličtina
Original language name
Propagation of Uncertainty Expressed in Intervals on the Confidence of Fuzzy Association Rules
Original language description
Association analysis searches data for potentially useful patterns in the form of rules. The aim of this paper is to analyze thoroughly the influence of im-precision or uncertainty in data on the uncertainty of the rule’s quality measure, which is called the confidence. An experiment is conducted that allows to analyze the amount of uncertainty propagated from data to the resulting rule’s confidence. For that, artificial data are generated with various characteristics and uncertainty settings. Results of the experiment show the dependency of the amount of uncertainty in a rule’s confidence on the rate, type and position of uncertainty in data. Also, the effect of a t-norm selected in the definition of confidence is evaluated.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10103 - Statistics and probability
Result continuities
Project
<a href="/en/project/LQ1602" target="_blank" >LQ1602: IT4Innovations excellence in science</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Fuzzy Systems and Data Mining V
ISBN
978-1-64368-018-7
ISSN
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e-ISSN
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Number of pages
7
Pages from-to
205-211
Publisher name
IOS Press
Place of publication
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Event location
Kitakyushu
Event date
Oct 18, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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