A simple discernibility matrix for attribute reduction in formal concept analysis based on granular concepts-Reference-Cited by-同舟云学术

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A simple discernibility matrix for attribute reduction in formal concept analysis based on granular concepts

Published:2019-10-09 Issue:3 Volume:37 Page:4325-4337
ISSN:1064-1246
Container-title:Journal of Intelligent & Fuzzy Systems
language:
Short-container-title:IFS

Author:

Li Lei-Jun¹²,Li Mei-Zheng³⁴,Mi Ju-Sheng¹²,Xie Bin³⁴

Affiliation:

1. College of Mathematics and Information Science, Hebei Normal University, Shijiazhuang, Hebei, P. R. China

2. Hebei Key Laboratory of Computational Mathematics and Applications, Hebei Normal University, Shijiazhuang, Hebei, P. R. China

3. College of Information Technology, Hebei Normal University, Shijiazhuang, Hebei, P. R. China

4. Hebei Key Laboratory of Network and Information Security, Hebei Normal University, Shijiazhuang, Hebei, P. R. China

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference44 articles.

1. A lattice conceptual clustering system and its application to browsing retrieval;Carpineto;Machine Learning,1996

2. A graph approach for knowledge reduction in formal contexts;Chen;Knowledge-Based Systems,2018

3. A fast attribute reduction method for large formal decision contexts;Chen;International Journal of Approximate Reasoning,2019

4. Document retrieval for email search and discovery using formal concept analysis;Cole;Applied Artificial Intelligence,2003

5. Characterizing reducts in multi-adjoint concept lattices;Cornejo;Information Sciences,2018

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4. Indistinguishable Element-Pair Attribute Reduction and Its Incremental Approach;Mathematical Problems in Engineering;2022-09-29

5. Steadiness analysis of means-end conceptual paths and problem-chains based on concept lattices and similarity measuring;International Journal of Machine Learning and Cybernetics;2021-03-30

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