For heterogeneous data sets containing numerical and symbolic feature values, feature
selection based on fuzzy neighborhood multigranulation rough sets (FNMRS) is a very …

Hyperautomation acts as a real digital transformation with the support of several cutting-
edge cognitive computation methods that include robotic process automation, natural …

The main purpose of this manuscript is to present a novel idea on the q‐rung orthopair fuzzy
rough set (q‐ROFRS) by the hybridized notion of q‐ROFRSs and rough sets (RSs) and …

This research introduces innovative rough approximation techniques for multidimensional
fuzzy sets by integrating rough sets and multidimensional fuzzy sets. Departing from …

Formulating and implementing effective transportation policies is of the utmost importance in
the context of increasingly imperative urban climate change issues. Utilizing q-rung …

The cache replacement policy (CRP) can reduce cache redundancy, improve cache
usefulness, and increase network efficiency in content-centric networks (CCN). The …

The rough set (RS) and multi-granulation rough set (MGRS) theories have been successfully
extended to accommodate preference analysis by substituting the equivalence relation (ER) …

Multi criteria group decision (MCGDM) for selecting third-party logistics provider (3PL) under
Pythagorean fuzzy rough Einstein Page 1 AIMS Mathematics, 8(8): 18040–18065. DOI …

A Comprehensive study on $(\alpha, \beta)$-multi-granulation bipolar fuzzy rough sets under
bipolar fuzzy preference relation Page 1 http://www.aimspress.com/journal/Math AIMS …

Recently, the notions of right and left covering rough sets were constructed by right and left
neighborhoods to propose four types of multigranulation covering rough set (MGCRS) …