Results 251 to 260 of about 1,694,129 (281)
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Axiomatization on generalized neighborhood system-based rough sets
Soft Computing, 2017zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Fangfang Zhao, Lingqiang Li
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A study of rough sets based on 1-neighborhood systems
Information Sciences, 2013Abstract A special class of neighborhood systems, called 1-neighborhood systems, are important in rough set theory. By using a concept “core” originated in general topology, we define two types of rough sets based on 1-neighborhood systems in this paper.
Zuoming Yu, Xiaole Bai, Ziqiu Yun
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On Some Types of Neighborhood-Related Covering Rough Sets
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Neighborhood rough set reduction with fish swarm algorithm
Soft Computing, 2016Feature reduction refers to the problem of deleting those input features that are less predictive of a given outcome; a problem encountered in many areas such as pattern recognition, machine learning and data mining. In particular, it has been successfully applied in tasks that involve datasets containing huge numbers of features.
Yumin Chen 0002 +2 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.
Mingwen Shao +2 more
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Variable precision neighborhood rough sets on two universes
2013 IEEE International Conference on Granular Computing (GrC), 2013The theory of rough sets on two universes has brought the attention by many scholars in recent years. In this paper, we propose the variable precision neighborhood rough sets model on two universes. Furthermore, the properties of this model are studied. Finally, we investigate the uncertainty measures and give a test example.
Kai Zeng 0005, Kun She 0001
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Uncertainty Measures of Neighborhood System-Based Rough Sets
Knowledge-Based Systems, 2015We first study the uncertainty of rough sets in binary GrC Model (Third GrC Model).We first propose the rough memberships to depict rough sets.Construct fuzzy entropy based on rough memberships and prove its rationality.We first propose the rough intuitionistic memberships to depict rough sets.Construct intuitionistic fuzzy entropy to measure ...
Tingting Zheng, Linyun Zhu
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Generalized rough set model based on the intersection of neighborhoods
2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), 2015Various generalized rough set models based on successor (predecessor) neighborhoods were discussed in the literature. In this paper, by using the intersection of all successor (predecessor) neighborhoods which contain the same object as knowledge granule, the subset lower and upper approximations and concept lower and upper approximations are defined ...
Jianting Shen +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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Neighborhood rough set with neighborhood equivalence relation for feature selection
Knowledge and Information Systems, 2023Shangzhi Wu +4 more
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