Attribute implications in L-concept analysis with positive and negative attributes: Validity and properties of models

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F20%3A73601562" target="_blank" >RIV/61989592:15310/20:73601562 - isvavai.cz</a>
Result on the web
<a href="https://www.sciencedirect.com/science/article/pii/S0888613X19303457" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0888613X19303457</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.ijar.2020.02.009" target="_blank" >10.1016/j.ijar.2020.02.009</a>

Result language
angličtina
Original language name
Attribute implications in L-concept analysis with positive and negative attributes: Validity and properties of models
Original language description
We further develop our study of the L-fuzzy setting of Formal Concept Analysis with positive and negative attributes (affirmations and denials). While concept lattices in this setting are well described in our previous works, in the present paper we explore the attribute implications; which we call fuzzy containment implications. Among the main results established in the present paper are: results regarding validity of fuzzy containment implications and their models; relationship with previously studied fuzzy attribute implications; definition and properties of semantic entailment.
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
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Similar results(10)