Discernibility matrix based incremental feature selection on fused decision tables-Reference-Cited by-同舟云学术

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Discernibility matrix based incremental feature selection on fused decision tables

Published:2020-03 Issue: Volume:118 Page:1-26
ISSN:0888-613X
Container-title:International Journal of Approximate Reasoning
language:en
Short-container-title:International Journal of Approximate Reasoning

Author:

Liu Ye,Zheng Lidi,Xiu Yeliang,Yin Hong,Zhao Suyun,Wang Xizhao,Chen Hong,Li Cuiping

Funder

National Key Research & Develop Plan

National Key R&D Program of China

NSFC

National Basic Research Program of China

NSSFC

Publisher

Elsevier BV

Subject

Applied Mathematics,Artificial Intelligence,Theoretical Computer Science,Software

Reference85 articles.

1. Rough Sets: Theoretical Aspects of Reasoning About Data, vol. 9;Pawlak,2012

2. Rough sets: some extensions;Pawlak;Inf. Sci.,2007

3. Uncertainty measures of rough set prediction;Düntsch;Artif. Intell.,1998

4. Positive approximation: an accelerator for attribute reduction in rough set theory;Qian;Artif. Intell.,2010

5. Granular computing and knowledge reduction in formal contexts;Wu;IEEE Trans. Knowl. Data Eng.,2009

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