Dynamic interaction feature selection based on fuzzy rough set

Information Sciences ◽

10.1016/j.ins.2021.10.026 ◽

2021 ◽

Author(s):

Jihong Wan ◽

Hongmei Chen ◽

Tianrui Li ◽

Xiaoling Yang ◽

BinBin Sang

Keyword(s):

Feature Selection ◽

Rough Set ◽

Dynamic Interaction ◽

Fuzzy Rough Set

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A Robust Fuzzy Rough Set Method Based on Multi-Kernel and Fuzzy Decision for Feature Selection

2019 IEEE 14th International Conference on Intelligent Systems and Knowledge Engineering (ISKE) ◽

10.1109/iske47853.2019.9170449 ◽

2019 ◽

Author(s):

Shengwu Wang ◽

Hongmei Chen

Keyword(s):

Feature Selection ◽

Rough Set ◽

Fuzzy Decision ◽

Fuzzy Rough Set

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Feature Selection Based on Clustering Valid Analysis with Fuzzy-Rough Set

2010 2nd International Conference on Information Engineering and Computer Science ◽

10.1109/iciecs.2010.5678289 ◽

2010 ◽

Author(s):

Xiao-xuan Qi ◽

Jian-Wei Ji ◽

Xiao-wei Han ◽

Zhong-hu Yuan

Keyword(s):

Feature Selection ◽

Rough Set ◽

Fuzzy Rough Set

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A Fuzzy Rough Set Theory based Feature Selection for Phishing Attack Classification

Journal of Advanced Research in Dynamical and Control Systems ◽

10.5373/jardcs/v12sp4/20201492 ◽

2020 ◽

Vol 12 (SP4) ◽

pp. 298-306

Author(s):

Illakiya T.

Keyword(s):

Feature Selection ◽

Rough Set ◽

Rough Set Theory ◽

Fuzzy Rough Set ◽

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Fuzzy Rough Set and Information Entropy Based Feature Selection for Credit Scoring

2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery ◽

10.1109/fskd.2009.713 ◽

2009 ◽

Author(s):

Ping Yao

Keyword(s):

Feature Selection ◽

Rough Set ◽

Information Entropy ◽

Credit Scoring ◽

Fuzzy Rough Set ◽

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Feature selection with intelligent dynamic swarm and fuzzy rough set

2017 International Conference on Computing, Communication and Automation (ICCCA) ◽

10.1109/ccaa.2017.8229831 ◽

2017 ◽

Author(s):

Tarun Maini ◽

Abhishek Kumar ◽

Rakesh Kumar Misra ◽

Devender Singh

Keyword(s):

Feature Selection ◽

Rough Set ◽

Fuzzy Rough Set

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Classification of data with optimized fuzzy rough set feature selection on Nash equilibrium based kernel support vector machine

Malaya Journal of Matematik ◽

10.26637/mjm0s20/0056 ◽

2020 ◽

Vol S (1) ◽

pp. 299-305

Author(s):

Uma Maheshwari J. ◽

Mithra R.

Keyword(s):

Support Vector Machine ◽

Feature Selection ◽

Nash Equilibrium ◽

Rough Set ◽

Support Vector ◽

Fuzzy Rough Set ◽

Kernel Support Vector Machine

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Intelligent fuzzy rough set based feature selection using swarm algorithms with improved initialization

Journal of Intelligent & Fuzzy Systems ◽

10.3233/jifs-182606 ◽

2019 ◽

Vol 37 (1) ◽

pp. 1155-1164 ◽

Author(s):

Tarun Maini ◽

Abhishek Kumar ◽

Rakesh Kumar Misra ◽

Devender Singh

Keyword(s):

Feature Selection ◽

Rough Set ◽

Fuzzy Rough Set ◽

Swarm Algorithms

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New filter approaches for feature selection using differential evolution and fuzzy rough set theory

Neural Computing and Applications ◽

10.1007/s00521-020-04744-7 ◽

2020 ◽

Vol 32 (7) ◽

pp. 2929-2944

Author(s):

Emrah Hancer

Keyword(s):

Feature Selection ◽

Differential Evolution ◽

Rough Set ◽

Rough Set Theory ◽

Fuzzy Rough Set

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Fuzzy Rough Set Theory‐Based Feature Selection

Mathematical Methods in Interdisciplinary Sciences ◽

10.1002/9781119585640.ch9 ◽

2020 ◽

pp. 145-166

Author(s):

Tanmoy Som ◽

Shivam Shreevastava ◽

Anoop Kumar Tiwari ◽

Shivani Singh

Keyword(s):

Feature Selection ◽

Rough Set ◽

Rough Set Theory ◽

Fuzzy Rough Set

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Efficient feature selection methods using PSO with fuzzy rough set as fitness function

Soft Computing ◽

10.1007/s00500-021-06393-x ◽

2021 ◽

Author(s):

Ramesh Kumar Huda ◽

Haider Banka

Keyword(s):

Feature Selection ◽

Rough Set ◽

Fitness Function ◽

Selection Methods ◽

Fuzzy Rough Set

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