In this paper, with the aid of fuzzy soft β β-neighborhoods, we introduce fuzzy soft covering-
based multi-granulation fuzzy rough set models. We examine some of the relevant …

Fuzzy and intuitionistic fuzzy β covering has attracted the interest of many researchers
recently. However, some of the factors namely 1. the lack of inclusion relationship between …

Variable precision multigranulation fuzzy rough sets (VP-MFRSs) use two direct integrations:
the multigranulation maximum and minimum. Their optimistic and pessimistic models …

As a reliable and valid tool for analyzing uncertain information, fuzzy rough set theory has
attracted widespread concern in feature selection. However, the performance of fuzzy rough …

In this paper, we propose a new type of fuzzy covering-based rough set model over two
different universes by using Zadeh's extension principle. We mainly address the following …

In order to conduct an in-depth study of Zhan's methodology pertaining to the covering of
multigranulation fuzzy rough sets (C MG FRSs), we build two families: the family of fuzzy β …

In the field of rough set, fuzzy β-covering rough set (F β CRS) and multi-granulation rough
set are two important concepts, and their applications are extensive in feature selection, data …

In this article, we develop innovative models of multigranulation rough fuzzy sets, utilizing
fuzzy β-covering and incorporating a range of techniques such as fuzzy β-neighborhood …

Feature extraction is a fundamental and challenging task in machine learning, which aims at
extracting a subset of significant and discriminant features from raw data for various …

In the field of medical applications, graph theory offers diverse topological models for
representing the human heart. The key challenge is identifying the optimal structure as an …