Results 11 to 20 of about 5,614 (289)
New Neighborhood Based Rough Sets [PDF]
, 2015 Neighborhood based rough sets are important generalizations of the classical rough sets of Pawlak, as neighborhood operators generalize equivalence classes. In this article, we introduce nine neighborhood based operators and we study the partial order relations between twenty-two different neighborhood operators obtained from one covering.
Lynn D'eer, Chris Cornelis
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Information, 2019 Relative reduction of multiple neighborhood-covering with multigranulation rough set has been one of the hot research topics in knowledge reduction theory.
Xiaoying You, Jinjin Li, Hongkun Wang
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A Neighborhood Rough Classification with Dempster-Shafer Evidence Theory
Nantong Daxue xuebao. Ziran kexue ban, 2021 In order to further improve the classification mechanism and the performance of neighborhood classifier, a Dempster-Shafer(D-S) evidence-driven neighborhood rough classification method is proposed.
JU Hengrong; DING Weiping; YIN Tao; FAN Zhe; LIU Jiubing
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Fracture and Structural Integrity, 2023 S-N curve fatigue samples of titanium alloy welded joints have such a comparatively significant scatter, that results in the issue that the fatigue life prediction accuracy is not optimal.
Yangjinyu Li, Li Zou, Zhengjie Zhu
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Neighborhood Rough Fuzzy Penetration Control Method with Variable Precision Based on GMAW
Applied Sciences, 2023 Considering the nonlinear, time-varying, and multivariate coupling nature of the welding process, achieving excellent control of the welding process can be challenging.
Xiaohong Xiang +7 more
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Energies, 2018 In machine learning-based transient stability assessment (TSA) problems, the characteristics of the selected features have a significant impact on the performance of classifiers.
Bingyang Li, Jianmei Xiao, Xihuai Wang
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Characterization of neighborhood operators based on neighborhood relationships
Journal of Intelligent SystemsNeighborhood relationships play a pivotal role in rough set theory, addressing the limitations of equivalence relations. This article focuses on defining upper and lower approximation operators using neighborhood relationships and exploring their ...
Caixin Wei +3 more
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Automatic Rule Generation Based on Neighborhood Rough Set in Network Fault Management [PDF]
Jisuanji gongcheng, 2016 The current methods to define rules manually in the network fault management do not consider the influence of redundancy and inaccurate date on the effectiveness and performance of the rules.Aiming at the problem,an automatic rule generation method is ...
HONG Guodong,MIN Weidong
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An Entropy-Based Neighborhood Rough Set and PSO-SVRM Model for Fatigue Life Prediction of Titanium Alloy Welded Joints. [PDF]
Entropy (Basel), 2019 In order to obtain comprehensive assessment of the factors influencing fatigue life and to further improve the accuracy of fatigue life prediction of welded joints, soft computing methods, including entropy-based neighborhood rough set reduction ...
Zou L, Sun Y, Yang X, Yang X.
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Sensor data reduction with novel local neighborhood information granularity and rough set approach
Frontiers in Physics, 2023 Data description and data reduction are important issues in sensors data acquisition and rough sets based models can be applied in sensors data acquisition. Data description by rough set theory relies on information granularity, approximation methods and
Xiaoxue Fan +6 more
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