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Aggregation operators in fuzzy relational mathematical morphology: erosion and dilation
Institute of Mathematics and CS University of Latvia, Riga, Latvia; Department of Mathematics, University of Latvia, Riga, Latvia.
Institute of Mathematics and CS University of Latvia, Riga, Latvia; Department of Mathematics, University of Latvia, Riga, Latvia.
Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.ORCID-id: 0000-0003-3965-2834
2022 (engelsk)Inngår i: Computational intelligence and mathematics for tackling complex problems 3 / [ed] István Á. Harmati; László T. Kóczy; Jesús Medina; Eloísa Ramírez-Poussa, Springer Science+Business Media B.V., 2022, s. 57-71Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

We consider aggregation of fuzzy relational erosion and fuzzy relational dilation under different dual pairs of aggregation operators. Special attention is paid to the problem of preservation of duality and adjunctness under aggregation process.
sted, utgiver, år, opplag, sider
Springer Science+Business Media B.V., 2022. s. 57-71
Serie
Studies in Computational Intelligence, ISSN 1860949X, E-ISSN 18609503 ; 959
Emneord [en]
Adjunctness, Aggregation operators, Duality, Fuzzy relational dilation, Fuzzy relational erosion
HSV kategori
Identifikatorer
URN: urn:nbn:se:umu:diva-203119DOI: 10.1007/978-3-030-74970-5_8Scopus ID: 2-s2.0-85140297118ISBN: 9783030749699 (tryckt)ISBN: 978-3-030-74970-5 (digital)OAI: oai:DiVA.org:umu-203119DiVA, id: diva2:1727963
Konferanse
European Symposium on Computational Intelligence and Mathematics, ESCIM 2020, Budapest, 4-7 October, 2020.
Tilgjengelig fra: 2023-01-17 Laget: 2023-01-17 Sist oppdatert: 2023-03-24bibliografisk kontrollert

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