TY  - EJOU
AU  - Abu-Gdairi, Radwan 
AU  - Mareay, R. 
AU  - Badr, M. 

TI  - On Multi-Granulation Rough Sets with Its Applications
T2  - Computers, Materials \& Continua

PY  - 2024
VL  - 79
IS  - 1
SN  - 1546-2226

AB  - Recently, much interest has been given to multi-granulation rough sets (MGRS), and various types of MGRS models have been developed from different viewpoints. In this paper, we introduce two techniques for the classification of MGRS. Firstly, we generate multi-topologies from multi-relations defined in the universe. Hence, a novel approximation space is established by leveraging the underlying topological structure. The characteristics of the newly proposed approximation space are discussed. We introduce an algorithm for the reduction of multi-relations. Secondly, a new approach for the classification of MGRS based on neighborhood concepts is introduced. Finally, a real-life application from medical records is introduced via our approach to the classification of MGRS.
KW  - Multi-granulation; rough sets; data classifications; information systems; interior operators; closure operators; approximation structures

DO  - 10.32604/cmc.2024.048647