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Granular Computing
Erschienen in: Granular Computing 2/2020

04.12.2018 | Original Paper

Fuzzy rough soft set and its application to lattice

verfasst von: Susanta Bera, Sankar Kumar Roy

Erschienen in: Granular Computing | Ausgabe 2/2020

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Abstract

In this study, we establish a connection between rough soft set (Shabir et al., Knowl Base Syst 40:72–80, 2013) and fuzzy set. Based on the novel granulation structure called modified soft rough approximation space, fuzzy rough soft set is introduced. The important basic properties of fuzzy rough soft set are studied and supported by illustrative examples. Moreover lattice theory is studied on fuzzy rough soft set. The definitions and propositions presented in this paper enrich the soft set theory, rough set theory and fuzzy set theory, and also extend their application scopes. The paper ends with conclusions having future investigations of the study.
Vorheriger Artikel Interval methods for robust gain scheduling controllers
Nächster Artikel Distance and similarity measures for Pythagorean fuzzy sets

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Literatur
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Bera S, Roy SK (2016) Soft rough approach to lattice-ideal. J Fuzzy Math 24(1):1–7MATH
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Metadaten
Titel
Fuzzy rough soft set and its application to lattice
verfasst von
Susanta Bera
Sankar Kumar Roy
Publikationsdatum
04.12.2018
Verlag
Springer International Publishing
Erschienen in
Granular Computing / Ausgabe 2/2020
Print ISSN: 2364-4966
Elektronische ISSN: 2364-4974
DOI
https://doi.org/10.1007/s41066-018-00148-0

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