Fuzzy four-fold tables: their properties and use in fuzzy association analysis

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F19%3AA2001QYB" target="_blank" >RIV/61988987:17610/19:A2001QYB - isvavai.cz</a>
Result on the web
<a href="https://www.sciencedirect.com/science/article/abs/pii/S0888613X18305474" target="_blank" >https://www.sciencedirect.com/science/article/abs/pii/S0888613X18305474</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.ijar.2019.03.002" target="_blank" >10.1016/j.ijar.2019.03.002</a>

Result language
angličtina
Original language name
Fuzzy four-fold tables: their properties and use in fuzzy association analysis
Original language description
In this contribution, we propose a generalization of a four-fold table known from classical statistics to the case when fuzzy sets represent attributes in a data set. We define fuzzy quantifiers on the generalized four-fold table and investigate various classes of such quantifiers. We also study properties of fuzzy four-fold tables and several quality measures based on them and relations between the choice of used t-norms and chosen quality measures. We do not only present a new theoretical approach to fuzzy association analysis but, based on our results, we conclude this paper with a short discussion on the best choice of t-norm used for mining fuzzy associations.
Czech name
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Czech description
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Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10102 - Applied mathematics

Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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