Fuzzy rough feature selection using a robust non-linear vague quantifier for ordinal classification
Author:
Publisher
Elsevier BV
Subject
Artificial Intelligence,Computer Science Applications,General Engineering
Reference60 articles.
1. Integration of aggressive bound tightening and Mixed Integer Programming for cost-sensitive feature selection in medical diagnosis;Abdulla;Expert Systems with Applications,2022
2. Prototype selection to improve monotonic nearest neighbor;Cano;Engineering Applications of Artificial Intelligence,2017
3. Credit rating with a monotonicity-constrained support vector machine model;Chen;Expert Systems with Applications,2014
4. Parallel attribute reduction in dominance-based neighborhood rough set;Chen;Information Sciences,2016
5. A graph approach for fuzzy-rough feature selection;Chen;Fuzzy Sets and Systems,2020
Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Kernel multi-granularity double-quantitative rough set based on ensemble empirical mode decomposition: Application to stock price trends prediction;International Journal of Approximate Reasoning;2024-09
2. A Population Initialization Method Based on Similarity and Mutual Information in Evolutionary Algorithm for Bi-Objective Feature Selection;ACM Transactions on Evolutionary Learning and Optimization;2024-07-29
3. Self-representation with adaptive loss minimization via doubly stochastic graph regularization for robust unsupervised feature selection;International Journal of Machine Learning and Cybernetics;2024-07-06
4. Feature Selection Based on Weighted Fuzzy Rough Sets;IEEE Transactions on Fuzzy Systems;2024-07
5. Condition Information Entropy and Rough Set Method Based on Particle Swarm Optimization Applied in the Natural Quality Evaluation of Cultivated Land;Sustainability;2024-04-22
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3