Fuzzy Implication and Functional Dependency on Formal Context

Autor: Mohammad Deni Akbar, Yoshihiro Mizoguchi
Jazyk: indonéština
Rok vydání: 2020
Předmět:
Zdroj: Jurnal Matematika Integratif, Vol 15, Iss 2 (2020)
Druh dokumentu: article
ISSN: 1412-6184
2549-9033
DOI: 10.24198/jmi.v15.n2.21693.69
Popis: Fuzzy formal concept analysis(FFCA) is a development of formal concept analysis(FCA) with the degree of relation between objects and attributes. Using FCA approach, we will investigate the condition logical implication for fuzzy functional dependency. We also use Armstrong's rule to define soundness and completeness of our implication and fuzzy functional dependency model. We show difference and equivalence condition between fuzzy implication and fuzzy functional dependency. This condition can be used to develop the algorithm for finding attribute dependency.
Databáze: Directory of Open Access Journals