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Fuzzy Implication and Functional Dependency on Formal Context
- Source :
- Jurnal Matematika Integratif, Vol 15, Iss 2 (2020)
- Publication Year :
- 2019
- Publisher :
- Universitas Padjadjaran, 2019.
-
Abstract
- 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.
- Subjects :
- 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)
Subjects
Details
- ISSN :
- 25499033 and 14126184
- Volume :
- 15
- Database :
- OpenAIRE
- Journal :
- Jurnal Matematika Integratif
- Accession number :
- edsair.doi.dedup.....702b0097e373b2e6830392f089b58321
- Full Text :
- https://doi.org/10.24198/jmi.v15i2.21693