Results 261 to 270 of about 1,718,703 (323)

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
openaire   +2 more sources

Neighborhood margin rough set: Self-tuning neighborhood threshold

International Journal of Approximate Reasoning
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Mingjie Cai, Haichao Wang, Feng Xu 0011, Qingguo Li   +3 more
openaire   +1 more source

Local Weighted Neighborhood Rough Sets for Weakly Labeled Data

International Conference on Machine Learning and Computing, 2023
Local rough set models are efficient rough data analysis methods for weakly labeled data in the rough set field. However, the existing local models do not distinguish the importance of different attributes to decisions when describing and defining binary
Yanting Guo, Meng Hu, Qiang Liu, Eric C. C. Tsang, Xizhao Wang   +4 more
semanticscholar   +1 more source

Granular Ball Fuzzy Neighborhood Rough Sets-Based Feature Selection via Multiobjective Mayfly Optimization

IEEE transactions on fuzzy systems
Most feature selection models via swarm intelligence optimization have difficulty achieving an optimal global subset of features and are not ideal for classifying high-dimensional data. We study a granular ball fuzzy neighborhood rough sets-based feature
Lin Sun, Han-Bo Liang, Weiping Ding, Jiucheng Xu   +3 more
semanticscholar   +1 more source

Weighted neighborhood classifier based on fuzzy neighborhood rough sets and its application to evaluate quality of experience for online gaming

Other Conferences, 2023
To solve the problem that the current Quality of Experience assessment of online gaming cannot reflect the real Quality of Experience of online gaming, we choose multi-dimensional influencing factors to create a dataset of the Quality of Experience of ...
Xianxing Zhu, Zhen Jia, Xiaoxia Xie, Hongzhan Shi   +3 more
semanticscholar   +1 more source

A novel adaptive neighborhood rough sets based on sparrow search algorithm and feature selection

Information Sciences
Neighborhood rough sets-based methods have been widely used for feature selection. However, the existing methods have some problems in neighborhood construction, such as the application of the same neighborhood radius for all samples.
Caihui Liu, Bowen Lin, Duo-Qian Miao
semanticscholar   +1 more source

Palmprint Recognition Based on Neighborhood Rough Set

2010
Feature 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
openaire   +1 more source

A neighborhood rough set model with nominal metric embedding

Information Sciences, 2020
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Sheng Luo 0006, Duoqian Miao 0001, Zhifei Zhang, Yuanjian Zhang 0004, Shengdan Hu   +4 more
openaire   +3 more sources

Axiomatization on generalized neighborhood system-based rough sets

Soft Computing, 2017
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Fangfang Zhao, Lingqiang Li
openaire   +2 more sources

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
openaire   +2 more sources