Results 251 to 260 of about 5,614 (289)

A neighborhood rough set model with nominal metric embedding

Information Sciences, 2020
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Sheng Luo 0006, Duoqian Miao 0001, Zhifei Zhang, Yuanjian Zhang 0004, Shengdan Hu   +4 more
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Neighborhood rough sets for dynamic data mining

International Journal of Intelligent Systems, 2012
Approximations 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, Tianrui Li 0001, Da Ruan 0001, Dun Liu   +3 more
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Generalized weighted neighborhood rough sets

Information Sciences
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Nguyen Ngoc Thuy, Tran Duy Anh, Le Manh Thanh   +2 more
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A rough set model based on fuzzifying neighborhood systems

Soft Computing, 2020
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Lingqiang Li, Qiu Jin, Bingxue Yao, Jiachao Wu   +3 more
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Neighborhood Systems and Variable Precision Generalized Rough Sets

Fundamenta Informaticae, 2017
In 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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Neighborhood margin rough set: Self-tuning neighborhood threshold

International Journal of Approximate Reasoning
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Mingjie Cai, Haichao Wang, Feng Xu 0011, Qingguo Li   +3 more
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Variable precision neighborhood rough sets on two universes

2013 IEEE International Conference on Granular Computing (GrC), 2013
The 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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Axiomatization on generalized neighborhood system-based rough sets

Soft Computing, 2017
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Fangfang Zhao, Lingqiang Li
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A study of rough sets based on 1-neighborhood systems

Information Sciences, 2013
Abstract 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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Neighborhood rough set reduction with fish swarm algorithm

Soft Computing, 2016
Feature 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, Zhiqiang Zeng, Junwen Lu   +2 more
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