Results 251 to 260 of about 1,718,703 (323)
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Neighborhood Rough Set Approach With Biometric Application
International Journal of Sociotechnology and Knowledge Development, 2022This paper provides a new approach for human identification based on Neighborhood Rough Set (NRS) algorithm with biometric application of ear recognition. The traditional rough set model can just be used to evaluate categorical features. The neighborhood model is used to evaluate both numerical and categorical features by assigning different thresholds
B. Lavanya +2 more
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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
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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
Knowledge-Based Systems, 2018
Abstract With the advent of the age of big data, a typical big data set called limited labeled big data appears. It includes a small amount of labeled data and a large amount of unlabeled data. Some existing neighborhood-based rough set algorithms work well in analyzing the rough data with numerical features.
Qi Wang +4 more
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Abstract With the advent of the age of big data, a typical big data set called limited labeled big data appears. It includes a small amount of labeled data and a large amount of unlabeled data. Some existing neighborhood-based rough set algorithms work well in analyzing the rough data with numerical features.
Qi Wang +4 more
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A soft neighborhood rough set model and its applications
Information Sciences, 2022zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Shuang An +4 more
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Generalized rough sets based on neighborhood systems and topological spaces [PDF]
Journal of the Egyptian Mathematical Society, 2016 Rough sets theory is an important method for dealing with uncertainty, fuzziness and undefined objects. In this paper, we introduce a new approach for generalized rough sets based on the neighborhood systems induced by an arbitrary binary relation.
Roshdey Mareay
exaly +2 more sources
Neighborhood Systems: Rough Set Approximations and Definability
Fundamenta Informaticae, 2018The notions of approximation and definability in classical rough set theory and their generalizations have received much attention. In this paper, we study such generalizations from the perspective of neighborhood systems. We introduce four different types of definability, called interior definability, closure definability, interior-closure (IC ...
Yu-Ru Syau, En-Bing Lin, Churn-Jung Liau
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A Fast Attribute Reduction Algorithm of Neighborhood Rough Set
2021 13th International Conference on Knowledge and Smart Technology (KST), 2021The classic Pawlak rough set model is only suitable for processing discrete data, not continuous data directly. Pawlak rough set model needs discretization when processing continuous data, which will cause the loss of information in the data set. In this context, Hu proposed the neighborhood rough set (NRS) model, which greatly expanded the application
Wenhua Li, Shuyin Xia, Zizhong Chen
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IEEE transactions on fuzzy systems, 2021
Incremental feature selection approaches can improve the efficiency of feature selection used for dynamic datasets, which has attracted increasing research attention.
Binbin Sang +4 more
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Incremental feature selection approaches can improve the efficiency of feature selection used for dynamic datasets, which has attracted increasing research attention.
Binbin Sang +4 more
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A rough set model based on fuzzifying neighborhood systems
Soft Computing, 2020zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Lingqiang Li +3 more
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Neighborhood rough sets for dynamic data mining
International Journal of Intelligent Systems, 2012Approximations of a concept in rough set theory induce rules and need to update for dynamic data mining and related tasks. Most existing incremental methods based on the classical rough set model can only be used to deal with the categorical data. This paper presents a new dynamic method for incrementally updating approximations of a concept under ...
Junbo Zhang 0004 +3 more
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