Pseudo-label neighborhood rough set: measures and attribute reductions

From MaRDI portal
Publication:1726344

DOI10.1016/j.ijar.2018.11.010zbMath1452.68236OpenAlexW2900648357MaRDI QIDQ1726344

Yuhua Qian, Hualong Yu, Shaochen Liang, Xibei Yang, Shang Gao

Publication date: 20 February 2019

Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ijar.2018.11.010




Related Items (27)

A computational formulation of distribution reducts in probabilistic rough set modelsHierarchical neighborhood entropy based multi-granularity attribute reduction with application to gene prioritizationA fast neighborhood classifier based on hash bucket with application to medical diagnosisA three-way decision model based on cumulative prospect theoryA multilevel neighborhood sequential decision approach of three-way granular computingSemi-supervised feature selection for partially labeled mixed-type data based on multi-criteria measure approachAttribute reduction with personalized information granularity of nearest mutual neighborsIncremental rough reduction with stable attribute groupThree-hierarchical three-way decision models for conflict analysis: a qualitative improvement and a quantitative extensionMeasurement, modeling, reduction of decision-theoretic multigranulation fuzzy rough sets based on three-way decisionsSemi-supervised attribute reduction for partially labeled categorical data based on predicted labelBi-directional adaptive neighborhood rough sets based attribute subset selectionFeature selection based on self-information combining double-quantitative class weights and three-order approximation accuracies in neighborhood rough setsGranular cabin: an efficient solution to neighborhood learning in big dataDouble-quantitative variable consistency dominance-based rough set approachTopological structures induced by L-fuzzifying approximation operatorsAttribute group for attribute reductionEnsemble-based neighborhood attribute reduction: a multigranularity viewAccelerator for supervised neighborhood based attribute reductionSix-set approximation theorem of neighborhood related rough setsDiscernibility matrix based incremental feature selection on fused decision tablesLocal temporal-spatial multi-granularity learning for sequential three-way granular computingIncremental updating probabilistic neighborhood three-way regions with time-evolving attributesTopological operators of MW-topological rough approximationsRandom sampling accelerator for attribute reductionGLRM: logical pattern mining in the case of inconsistent data distribution based on multigranulation strategyVariable radius neighborhood rough sets and attribute reduction



Cites Work


This page was built for publication: Pseudo-label neighborhood rough set: measures and attribute reductions