Fuzzy Implication and Functional Dependency on Formal Context
| Autor: | Mohammad Deni Akbar, Yoshihiro Mizoguchi |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Soundness
Theoretical computer science Dependency (UML) Computer science fuzzy functional dependency lcsh:Mathematics fuzzy implication Context (language use) lcsh:QA1-939 Logical consequence formal concept analysis Completeness (logic) Formal concept analysis Functional dependency Equivalence (measure theory) |
| Zdroj: | Jurnal Matematika Integratif, Vol 15, Iss 2 (2020) |
| ISSN: | 2549-9033 1412-6184 |
| DOI: | 10.24198/jmi.v15i2.21693 |
| 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: | OpenAIRE |
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