A proposal to extend Relational Concept Analysis with fuzzy scaling quantifiers

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F21%3AA22026R6" target="_blank" >RIV/61988987:17610/21:A22026R6 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1016/j.knosys.2021.107452" target="_blank" >https://doi.org/10.1016/j.knosys.2021.107452</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.knosys.2021.107452" target="_blank" >10.1016/j.knosys.2021.107452</a>

Result language
angličtina
Original language name
A proposal to extend Relational Concept Analysis with fuzzy scaling quantifiers
Original language description
In this article, we integrate Relational Concept Analysis with fuzzy logic to explore multi-relational datasets including also vague information. Mainly, we aim to extract a family of fuzzy concept lattices from data organized as a collection of fuzzy formal contexts and fuzzy relations between objects of different types. In achieving this goal, we use existing fuzzy FCA techniques and fuzzy scaling quantifiers. Our principal contribution here consists of introducing and studying fuzzy scaling quantifiers, which are fuzzy quantifiers based on the concept of evaluative linguistic expression.
Czech name
—
Czech description
—

Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
10101 - Pure mathematics

Project
<a href="/en/project/EF17_049%2F0008414" target="_blank" >EF17_049/0008414: Centre for the development of Artificial Intelligence Methods for the Automotive Industry of the region</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Similar results(10)