Efficient approaches for maintaining dominance-based multigranulation approximations with incremental granular structures-Reference-Cited by-同舟云学术

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Efficient approaches for maintaining dominance-based multigranulation approximations with incremental granular structures

Published:2020-11 Issue: Volume:126 Page:202-227
ISSN:0888-613X
Container-title:International Journal of Approximate Reasoning
language:en
Short-container-title:International Journal of Approximate Reasoning

Author:

Hu Chengxiang,Zhang Li^ORCID

Funder

Natural Science Foundation of the Jiangsu Higher Education Institutions of China

Anhui Provincial Natural Science Foundation

Priority Academic Program Development of Jiangsu Higher Education Institutions of China

Collaborative Innovation Center of Novel Software Technology and Industrialization of China

Six Talent Peak Project of Jiangsu Province of China

Publisher

Elsevier BV

Subject

Applied Mathematics,Artificial Intelligence,Theoretical Computer Science,Software

Reference73 articles.

1. Rough sets;Pawlak;Int. J. Comput. Inf. Sci.,1982

2. A novel soft rough set: soft rough hemirings and corresponding multicriteria group decision making;Zhan;Appl. Soft Comput.,2017

3. Attribute selection for partially labeled categorical data by rough set approach;Dai;IEEE Trans. Cybern.,2017

4. Rough set model based feature selection for mixed-type data with feature space decomposition;Kim;Expert Syst. Appl.,2018

5. Probabilistic rough set approximations;Yao;Int. J. Approx. Reason.,2008

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