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作 者:Radwan Abu-Gdairi R.Mareay M.Badr
机构地区:[1]Department of Mathematics,Faculty of Science,Zarqa University,Zarqa,13132,Jordan [2]Department of Mathematics,Faculty of Science,Kafrelsheikh University,Kafrelsheikh,33516,Egypt [3]Department of Mathematics,Faculty of Science,New Valley University,El Kharga,72713,Egypt
出 处:《Computers, Materials & Continua》2024年第4期1025-1038,共14页计算机、材料和连续体(英文)
摘 要:Recently,much interest has been given tomulti-granulation rough sets (MGRS), and various types ofMGRSmodelshave been developed from different viewpoints. In this paper, we introduce two techniques for the classificationof MGRS. Firstly, we generate multi-topologies from multi-relations defined in the universe. Hence, a novelapproximation space is established by leveraging the underlying topological structure. The characteristics of thenewly proposed approximation space are discussed.We introduce an algorithmfor the reduction ofmulti-relations.Secondly, a new approach for the classification ofMGRS based on neighborhood concepts is introduced. Finally, areal-life application from medical records is introduced via our approach to the classification of MGRS.
关 键 词:Multi-granulation rough sets data classifications information systems interior operators closure operators approximation structures
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