Abstract
In this article, the concepts of fuzzy soft \(\beta\)-coverings, fuzzy soft \(\beta\)-neighborhoods and fuzzy soft complement \(\beta\)-neighborhoods are firstly proposed and some related properties are studied. Then four distinct types of fuzzy soft \(\beta\)-coverings based fuzzy rough sets are defined. Furthermore, we explore the relationships among the several types of fuzzy soft \(\beta\)-coverings based fuzzy rough sets. In particular, by means of \(\beta\)-level subsets of fuzzy soft \(\beta\)-coverings, some kinds of soft coverings based rough sets are also investigated. Finally, by means of fuzzy soft \(\beta\)-coverings based fuzzy rough sets, we give a detailed description of an algorithmic procedure of decision-making for the new approach.
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The authors are extremely grateful to the editor and three anonymous referees for their valuable comments and helpful suggestions which helped to improve the presentation of this paper. This research is partially supported by NNSFC (11461025; 11561023).
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Zhang, L., Zhan, J. Fuzzy soft \(\beta\)-covering based fuzzy rough sets and corresponding decision-making applications. Int. J. Mach. Learn. & Cyber. 10, 1487–1502 (2019). https://doi.org/10.1007/s13042-018-0828-3
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DOI: https://doi.org/10.1007/s13042-018-0828-3