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Evaluation of discernibility matrix based reduct computation techniques

2013 5th International Conference on Computer Science and Information Technology, 2013
Rough set theory provides some principles that are used for data classification and knowledge reduction. Reduct is one of the main concepts that can be used for feature set reduction and for data classification. Finding the reduct set is computationally expensive for data sets with large number of attributes.
Enas A. AliKhashashneh, Qasem A. Al-Radaideh +1 more
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Attribute reduction in formal contexts based on a new discernibility matrix

Journal of Applied Mathematics and Computing, 2008
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Discernibility Matrix Based Incremental Feature Selection on Fused Decision Tables

International Journal of Approximate Reasoning, 2020
Xizhao Wang, Suyun Zhao, Yeliang Xiu
exaly

On Attribute Reduction in Concept Lattices: Methods Based on Discernibility Matrix Are Outperformed by Basic Clarification and Reduction

Information Sciences, 2017
Jan Konecny
exaly

Constructing Discernibility Matrix for Different Reduction Objectives

INTERNATIONAL JOURNAL ON Advances in Information Sciences and Service Sciences, 2013
Zhiguo Huang -, Dong Yu -
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On Attribute Reduction in Concept Lattices: The Polynomial Time Discernibility Matrix-Based Method Becomes the CR-Method

Information Sciences, 2019
Jan Konecny, Petr Krajca
exaly

Reduction tree algorithm based on discernibility matrix

Journal of Computer Applications, 2008
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The Discernibility Matrices and Functions in Information Systems

1992
Andrzej Skowron
exaly