Results 251 to 260 of about 5,429,485 (293)
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Neighborhood operators for covering-based rough sets
Information Sciences, 2016zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Lynn D'eer +3 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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Generalized weighted neighborhood rough sets
Information ScienceszbMATH Open Web Interface contents unavailable due to conflicting licenses.
Nguyen Ngoc Thuy +2 more
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Neighborhood Systems and Variable Precision Generalized Rough Sets
Fundamenta Informaticae, 2017In this paper, we present the connection between the concepts of Variable Precision Generalized Rough Set model (VPGRS-model) and Neighborhood Systems through binary relations. We provide characterizations of lower and upper approximations for VPGRS-model by introducing minimal neighborhood systems.
Yu-Ru Syau, En-Bing Lin, Churn-Jung Liau
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Variable radius neighborhood rough sets and attribute reduction
International Journal of Approximate Reasoning, 2022zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Di Zhang, Ping Zhu 0001
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Neighborhood margin rough set: Self-tuning neighborhood threshold
International Journal of Approximate ReasoningzbMATH Open Web Interface contents unavailable due to conflicting licenses.
Mingjie Cai +3 more
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Palmprint Recognition Based on Neighborhood Rough Set
2010Feature extraction is viewed as an important preprocessing step for pattern recognition, machine learning and data mining. Neighborhood rough set (NRS) based feature extracting algorithm is able to delete most of the redundant and irrelevant features, which avoid the step of data discretization and hence decreased the information lost in preprocess. In
Shanwen Zhang, Jiandu Liu
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A neighborhood rough set model with nominal metric embedding
Information Sciences, 2020zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Sheng Luo 0006 +4 more
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On some types of neighborhood-related covering rough sets
International Journal of Approximate Reasoning, 2012 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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