Results 251 to 260 of about 5,279,386 (290)

A Fast Attribute Reduction Algorithm of Neighborhood Rough Set

2021 13th International Conference on Knowledge and Smart Technology (KST), 2021
The classic Pawlak rough set model is only suitable for processing discrete data, not continuous data directly. Pawlak rough set model needs discretization when processing continuous data, which will cause the loss of information in the data set. In this context, Hu proposed the neighborhood rough set (NRS) model, which greatly expanded the application
Wenhua Li, Shuyin Xia, Zizhong Chen
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Neighborhood operators for covering-based rough sets

Information Sciences, 2016
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Lynn D'eer, Mauricio Restrepo, Chris Cornelis, Jonatan Gómez   +3 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 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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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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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
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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
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Uncertainty measures of Neighborhood System-based rough sets

Knowledge-Based Systems, 2015
We 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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