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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 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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Neighborhood operators for covering-based rough sets
Information Sciences, 2016zbMATH Open Web Interface contents unavailable due to conflicting licenses.
D'eer, Lynn +3 more
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Neighborhood Rough Sets based Multi-Label classification
2013 Joint IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS), 2013Nowadays, multi-label classification methods are of growing interest. Due to the relationships among the labels, traditional single-label classification methods are not directly applicable to the multi-label classification problem. This paper presents a novel multi-label classification framework based on the variable precision neighborhood rough sets ...
Ying Yu +3 more
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Measures of uncertainty for neighborhood rough sets
Knowledge-Based Systems, 2017Uncertainty measures are critical evaluating tools in machine learning fields, which can measure the dependence and similarity between two feature subsets and can be used to judge the significance of features in classifying and clustering algorithms. In the classical rough sets, there are some uncertainty tools to measure a feature subset, including ...
Yumin Chen, Yu Xue, Ying Ma, Feifei Xu
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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.
Zhang, Di, Zhu, Ping
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Exploring Neighborhood Structures with Neighborhood Rough Sets in Classification Learning
2013We introduce neighborhoods of samples to granulate the universe and use the neighborhood granules to approximate classification, thus they derived a model of neighborhood rough sets. Some machine learning algorithms, including boundary sample selection, feature selection and rule extraction, were developed based on the model.
Qinghua Hu, Leijun Li, Pengfei Zhu
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Neighborhood Rough-Sets-Based Spatial Data Analytics
2018Rough Set Theory partitions a universe using single layered granulation. The equivalence classes induced by rough sets are based on discretised values. Considering the fact that the spatial data are continuous at large, discretising them may cause loss of data.
null Sharmila Banu K, B. K. Tripathy
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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 +3 more
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Attribute reduction based on k-nearest neighborhood rough sets
International Journal of Approximate Reasoning, 2019zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Changzhong Wang +3 more
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