 On three types of soft fuzzy coverings based rough setsMohammed Atef and Shokry I. Nada Mathematics and Computers in Simulation (MATCOM), 2021, vol. 185, issue C, 452-467 Abstract: Recently, the concept of soft fuzzy rough covering was defined and their properties were studied by Zhan et al.. (Zhan and Sun, 2019). As a generalization of Zhan’s method (i.e., to increase the lower approximation and decrease the upper approximation), the present work aims to define the complementary fuzzy soft neighborhood and hence three new types of soft fuzzy rough covering models are constructed. The properties of these construction are explained. According to these results, we define three types of fuzzy soft measure degrees. Also, we study three kinds of ψ-soft fuzzy rough coverings and three kinds of D-soft fuzzy rough coverings, and study their properties. The relationships among these three models and Zhan’s model are also presented. Finally, a decision-making algorithm is presented based on the proposed operations and illustrate with a numerical example to describe its performance. Keywords: Fuzzy soft neighborhoods; Complementary fuzzy soft neighborhoods; Soft fuzzy rough covering; Fuzzy soft measure degree; MCDM (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:185:y:2021:i:c:p:452-467 DOI: 10.1016/j.matcom.2020.12.023 Access Statistics for this article Mathematics and Computers in Simulation (MATCOM) is currently edited by Robert Beauwens More articles in Mathematics and Computers in Simulation (MATCOM) from Elsevier |
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