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The neurobiology of play: a narrative review of evidence from mice and humans for advancing neurorehabilitation. [PDF]
Front NeurosciCanepa ME, Ramenghi LA.
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Rough Set Theory Applied To Hyper BCK-Algebra
, 2014 R. Ameri, R. Moradian, R. A. Borzooei
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ROUGH FUZZY SETS AND FUZZY ROUGH SETS*
International Journal of General Systems, 1990The notion of a rough set introduced by Pawlak has often been compared to that of a fuzzy set, sometimes with a view to prove that one is more general, or, more useful than the other. In this paper we argue that both notions aim to different purposes.
Dubois, Didier, Prade, Henri
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Database Technologies: Concepts, Methodologies, Tools, and Applications, 2009
This chapter discusses ways in which rough-set theory can enhance databases by allowing for the management of uncertainty. Rough sets can be integrated into an underlying database model, relational or object oriented, and also used in the design and uerying of databases, because roughsets are a versatile theory, theories.
Theresa Beaubouef, Frederick E Petry
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This chapter discusses ways in which rough-set theory can enhance databases by allowing for the management of uncertainty. Rough sets can be integrated into an underlying database model, relational or object oriented, and also used in the design and uerying of databases, because roughsets are a versatile theory, theories.
Theresa Beaubouef, Frederick E Petry
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IEEE transactions on fuzzy systems, 2021
For heterogeneous data sets containing numerical and symbolic feature values, feature selection based on fuzzy neighborhood multigranulation rough sets (FNMRS) is a very significant step to preprocess data and improve its classification performance. This
Lin Sun +4 more
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For heterogeneous data sets containing numerical and symbolic feature values, feature selection based on fuzzy neighborhood multigranulation rough sets (FNMRS) is a very significant step to preprocess data and improve its classification performance. This
Lin Sun +4 more
semanticscholar +1 more source
IEEE transactions on fuzzy systems, 2021
Recently, multilabel classification has generated considerable research interest. However, the high dimensionality of multilabel data incurs high costs; moreover, in many real applications, a number of labels of training samples are randomly missed. Thus,
Lin Sun +4 more
semanticscholar +1 more source
Recently, multilabel classification has generated considerable research interest. However, the high dimensionality of multilabel data incurs high costs; moreover, in many real applications, a number of labels of training samples are randomly missed. Thus,
Lin Sun +4 more
semanticscholar +1 more source
Softβ-rough sets and their application to determine COVID-19
Turkish Journal of Mathematics, 2021Soft rough set theory has been presented as a basic mathematical model for decision-making for many real-life data However, soft rough sets are based on a possible fusion of rough sets and soft sets which were proposed by Feng et al [20] The main ...
M. El-Bably, Abdelfattah A. El Atik
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