Compatibility of Fuzzy Relations.
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| Title: | Compatibility of Fuzzy Relations. |
|---|---|
| Authors: | Kheniche, A.1, Baets, B.2, Zedam, L.1 |
| Source: | International Journal of Intelligent Systems. Mar2016, Vol. 31 Issue 3, p240-256. 17p. |
| Subjects: | Fuzzy relational calculus, Fuzzy sets, Lattice theory, Representations of algebras, Mathematical symmetry |
| Abstract: | The notion of extensionality, introduced by Höhle and Blanchard, and the notion of compatibility, as coined by Bělohlávek, of a fuzzy relation with respect to a fuzzy equality are trivially equivalent. Here, this compatibility property is dissected into left and right compatibility, mimicking the original twofold definition of extensionality, and studied in detail in the context of arbitrary fuzzy relations. Relying on the notions of left and right traces of a fuzzy relation, it is shown that compatibility can be characterized in terms of inclusions, shedding another light on the matter. [ABSTRACT FROM AUTHOR] |
| Copyright of International Journal of Intelligent Systems is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 112083247 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Compatibility of Fuzzy Relations. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Kheniche%2C+A%2E%22">Kheniche, A.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Baets%2C+B%2E%22">Baets, B.</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Zedam%2C+L%2E%22">Zedam, L.</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Intelligent+Systems%22">International Journal of Intelligent Systems</searchLink>. Mar2016, Vol. 31 Issue 3, p240-256. 17p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Fuzzy+relational+calculus%22">Fuzzy relational calculus</searchLink><br /><searchLink fieldCode="DE" term="%22Fuzzy+sets%22">Fuzzy sets</searchLink><br /><searchLink fieldCode="DE" term="%22Lattice+theory%22">Lattice theory</searchLink><br /><searchLink fieldCode="DE" term="%22Representations+of+algebras%22">Representations of algebras</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+symmetry%22">Mathematical symmetry</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The notion of extensionality, introduced by Höhle and Blanchard, and the notion of compatibility, as coined by Bělohlávek, of a fuzzy relation with respect to a fuzzy equality are trivially equivalent. Here, this compatibility property is dissected into left and right compatibility, mimicking the original twofold definition of extensionality, and studied in detail in the context of arbitrary fuzzy relations. Relying on the notions of left and right traces of a fuzzy relation, it is shown that compatibility can be characterized in terms of inclusions, shedding another light on the matter. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of International Journal of Intelligent Systems is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=112083247 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1002/int.21783 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 17 StartPage: 240 Subjects: – SubjectFull: Fuzzy relational calculus Type: general – SubjectFull: Fuzzy sets Type: general – SubjectFull: Lattice theory Type: general – SubjectFull: Representations of algebras Type: general – SubjectFull: Mathematical symmetry Type: general Titles: – TitleFull: Compatibility of Fuzzy Relations. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Kheniche, A. – PersonEntity: Name: NameFull: Baets, B. – PersonEntity: Name: NameFull: Zedam, L. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: Mar2016 Type: published Y: 2016 Identifiers: – Type: issn-print Value: 08848173 Numbering: – Type: volume Value: 31 – Type: issue Value: 3 Titles: – TitleFull: International Journal of Intelligent Systems Type: main |
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