Relational Galois connections between transitive digraphs: Characterization and construction

Formal concept analysis
Fuzzy logic
Fuzzy sets
Uncertainty
Authors
Published

1 January 2020

Publication details

Information Sciences vol. 519 , pages 439 – 450.

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Abstract

This paper focuses on a twofold relational generalization of the notion of Galois connection. It is twofold because it is defined between sets endowed with arbitrary transitive relations and, moreover, both components of the connection are relations, not necessarily functions. A characterization theorem of the notion of relational Galois connection is provided and, then, it is proved that a suitable notion of closure can be obtained within this framework. Finally, we state a necessary and sufficient condition that allows to build a relational Galois connection starting from a single transitive digraph and a single binary relation.

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FLAIR: Fuzzy, Logic and Algebraic tools for Information Resources

Formal concept analysis
Fuzzy logic
Uncertainty
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Please, cite this work as:

[Cab+20] I. P. Cabrera, P. Cordero, E. Muñoz-Velasco, et al. “Relational Galois connections between transitive digraphs: Characterization and construction”. In: Information Sciences 519 (2020). Cited by: 8; All Open Access, Green Open Access, p. 439 – 450. DOI: 10.1016/j.ins.2020.01.034. URL: [https://www.scopus.com/inward/record.uri?eid=2-s2.0-85079160299&doi=10.1016

@ARTICLE{Cabrera2020439,
     author = {Cabrera, Inma P. and Cordero, Pablo and Muñoz-Velasco, Emilio and Ojeda-Aciego, Manuel and De Baets, Bernard},
     title = {Relational Galois connections between transitive digraphs: Characterization and construction},
     year = {2020},
     journal = {Information Sciences},
     volume = {519},
     pages = {439 – 450},
     doi = {10.1016/j.ins.2020.01.034},
     url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85079160299&doi=10.1016%2fj.ins.2020.01.034&partnerID=40&md5=2d80ac2cb125c6e9326073eb92a4f5a4},
     type = {Article},
     publication_stage = {Final},
     source = {Scopus},
     note = {Cited by: 8; All Open Access, Green Open Access}
}