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Fuzzy relational mathematical morphology: erosion and dilation
Institute of Mathematics, CS University of Latvia, Riga, Latvia; Department of Mathematics, University of Latvia, Riga, Latvia.
Institute of Mathematics, CS University of Latvia, Riga, Latvia; Department of Mathematics, University of Latvia, Riga, Latvia.
Umeå University, Faculty of Science and Technology, Department of Computing Science.ORCID iD: 0000-0003-3965-2834
2020 (English)In: Information processing and management of Uuncertainty in knowledge-based systems: 18th International Conference, IPMU 2020, Lisbon, Portugal, June 15–19, 2020, Proceedings, Part III / [ed] Marie-Jeanne Lesot; Susana Vieira; Marek Z. Reformat; João Paulo Carvalho; Anna Wilbik; Bernadette Bouchon-Meunier; Ronald R. Yager, Springer, 2020, p. 712-725Conference paper, Published paper (Refereed)
Abstract [en]

In the recent years, the subject if fuzzy mathematical morphology entered the field of interest of many researchers. In our recent paper [23], we have developed the basis of the (unstructured) L-fuzzy relation mathematical morphology where L is a quantale. In this paper we extend it to the structured case. We introduce structured L-fuzzy relational erosion and dilation operators, study their basic properties, show that under some conditions these operators are dual and form an adjunction pair. Basing on the topological interpretation of these operators, we introduce the category of L-fuzzy relational morphological spaces and their continuous transformations.

Place, publisher, year, edition, pages
Springer, 2020. p. 712-725
Series
Communications in Computer and Information Science, ISSN 1865-0929, E-ISSN 1865-0937 ; 1239
Keywords [en]
Adjointness, Continuous transformations, Duality, L-fuzzy relational dilation, L-fuzzy relational erosion, L-fuzzy relational morphological spaces
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:umu:diva-197946DOI: 10.1007/978-3-030-50153-2_52Scopus ID: 2-s2.0-85086250827ISBN: 978-3-030-50152-5 (print)ISBN: 978-3-030-50153-2 (electronic)OAI: oai:DiVA.org:umu-197946DiVA, id: diva2:1682201
Conference
IPMU 2020, 18th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, Lisbon, Portugal, June 15-19, 2020
Note

Conference series: IPMU: International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems

Available from: 2022-07-08 Created: 2022-07-08 Last updated: 2022-07-08Bibliographically approved

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