Attribute implications in L-concept analysis with positive and negative attributes: Validity and properties of models
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...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Konecny, Jan [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2020 |
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| Schlagwörter: |
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| Umfang: |
13 |
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| Übergeordnetes Werk: |
Enthalten in: The effect of damping components on the interfacial dynamics and tribological behavior of high-speed train brakes - Wu, Y.K. ELSEVIER, 2021, the treatment of uncertainity in artificial intelligence, Amsterdam [u.a.] |
|---|---|
| Übergeordnetes Werk: |
volume:120 ; year:2020 ; pages:203-215 ; extent:13 |
| Links: |
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| DOI / URN: |
10.1016/j.ijar.2020.02.009 |
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| 520 | |a 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. | ||
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Attribute implications in L-concept analysis with positive and negative attributes: Validity and properties of models |
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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. |
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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. |
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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. |
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