Probability approach for interval-valued ordered decision systems in dominance-based fuzzy rough set theory-Reference-Cited by-同舟云学术

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Probability approach for interval-valued ordered decision systems in dominance-based fuzzy rough set theory

Published:2017-01-13 Issue:1 Volume:32 Page:703-710
ISSN:1064-1246
Container-title:Journal of Intelligent & Fuzzy Systems
language:
Short-container-title:IFS

Author:

Dai Jianhua¹²,Zheng Guojie²,Han Huifeng²,Hu Qinghua¹,Zheng Nenggan³,Liu Jun⁴,Zhang Qilai¹

Affiliation:

1. School of Computer Science and Technology, Tianjin University, Tianjin, China

2. College of Computer Science and Technology, Zhejiang University, Hangzhou, China

3. Qiushi Academy for Advanced Studies, Zhejiang University, Hangzhou, China

4. College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, China

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference26 articles.

1. Probabilistic fuzzy rough sets;Aggarwal;Journal of Intelligent & Fuzzy Systems,2015

2. Geometrical interpretation and applications of membership functions with fuzzy rough sets;Chen;Fuzzy Sets and Systems,2012

3. Discrete particle swarm optimization approach for cost sensitive attribute reduction;Dai;Knowledge-Based Systems,2016

4. Dai J. , Han H. , Zhang X. , Liu M. , Wan S. , Liu J. and Lu Z. , Catoptrical rough set model on two universes using granulebased definition and its variable precision extensions, Information Sciences (2016). DOI: 10.1016/j.ins.2016.04.011

5. Fuzzy rough set model for set-valued data;Dai;Fuzzy Sets and Systems,2013

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1. A Novel Dynamic Fusion Approach Using Information Entropy for Interval-Valued Ordered Datasets;IEEE Transactions on Big Data;2022

2. Feature selection for dynamic interval-valued ordered data based on fuzzy dominance neighborhood rough set;Knowledge-Based Systems;2021-09

3. Fast feature selection for interval-valued data through kernel density estimation entropy;International Journal of Machine Learning and Cybernetics;2020-05-07

4. A multi-objective interval valued fuzzy clustering algorithm with spatial information for noisy image segmentation;Journal of Intelligent & Fuzzy Systems;2019-06-11

5. Dominance-based fuzzy rough set approach for incomplete interval-valued data;Journal of Intelligent & Fuzzy Systems;2018-01-12

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