[2205.08719] $(O,G)$-granular variable precision fuzzy rough sets based on overlap and grouping functions
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Computer Science > Artificial Intelligence

arXiv:2205.08719 (cs)
[Submitted on 18 May 2022]

Title:$(O,G)$-granular variable precision fuzzy rough sets based on overlap and grouping functions

Authors:Wei Li, Bin Yang, Junsheng Qiao
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Abstract:Since Bustince et al. introduced the concepts of overlap and grouping functions, these two types of aggregation functions have attracted a lot of interest in both theory and applications. In this paper, the depiction of $(O,G)$-granular variable precision fuzzy rough sets ($(O,G)$-GVPFRSs for short) is first given based on overlap and grouping functions. Meanwhile, to work out the approximation operators efficiently, we give another expression of upper and lower approximation operators by means of fuzzy implications and co-implications. Furthermore, starting from the perspective of construction methods, $(O,G)$-GVPFRSs are represented under diverse fuzzy relations. Finally, some conclusions on the granular variable precision fuzzy rough sets (GVPFRSs for short) are extended to $(O,G)$-GVPFRSs under some additional conditions.
Subjects: Artificial Intelligence (cs.AI)
Cite as: arXiv:2205.08719 [cs.AI]
  (or arXiv:2205.08719v1 [cs.AI] for this version)
  https://doi.org/10.48550/arXiv.2205.08719

Submission history

From: Bin Yang [view email]
[v1] Wed, 18 May 2022 04:37:15 UTC (40 KB)
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