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Soft Computing
Erschienen in: Soft Computing 10/2021

07.04.2021 | Foundations

Approximations of fuzzy soft sets by fuzzy soft relations with image processing application

verfasst von: Jiří Močkoř, Petr Hurtík

Erschienen in: Soft Computing | Ausgabe 10/2021

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Abstract

Fuzzy soft sets represent a generalization of fuzzy sets with considerable application potential in decision-making problems, optimization, and computer science. In the paper, we use the fact that the fuzzy soft sets powerset theory is defined by the monad and, using this theory, we introduce the concept of fuzzy soft relations defined by the monad. Using that general method, we can also introduce the fuzzy soft approximation of fuzzy soft sets defined by fuzzy soft relations. We show that fuzzy soft sets and fuzzy soft approximations can be naturally used in selective color segmentation problem, where reliable and fully automated methods do not yet exist.
Vorheriger Artikel Banzhaf–Choquet-copula-based aggregation operators for managing q-rung orthopair fuzzy information
Nächster Artikel Dense capsule networks with fewer parameters

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Metadaten
Titel
Approximations of fuzzy soft sets by fuzzy soft relations with image processing application
verfasst von
Jiří Močkoř
Petr Hurtík
Publikationsdatum
07.04.2021
Verlag
Springer Berlin Heidelberg
Erschienen in
Soft Computing / Ausgabe 10/2021
Print ISSN: 1432-7643
Elektronische ISSN: 1433-7479
DOI
https://doi.org/10.1007/s00500-021-05769-3

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