Incremental Decision Rules
Incremental Decision Rules is a computational decision-making framework that iteratively refines and updates rule-based models by incorporating new evidence or data over time, distinguishing itself from static or batch decision rules through its adaptive, stepwise revision process.
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Publications
822
Citations
54
Authors
36
Institutions
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2017–2026
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Parents
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Rule induction based on an incremental rough set
Yu-Neng Fan, Tzu-Liang Tseng, Ching-Chin Chern et al. · Expert Systems with Applications · 2009 · 69 citations
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National Taiwan University
Taipei, Taiwan
3 h-index
4 publications
196 citations

The University of Texas at El Paso
El Paso, United States
3 h-index
3 publications
127 citations

Southwest Jiaotong University
Chengdu, China
3 h-index
9 publications
385 citations
National Chi Nan University
Puli, Taiwan
3 h-index
5 publications
185 citations

Poznań University of Technology
Poznan, Poland
2 h-index
3 publications
127 citations
Michigan State University
East Lansing, United States
1 h-index
3 publications
213 citations
Universitat Politècnica de València
Valencia, Spain
1 h-index
1 publications
31 citations

Huanggang Normal University
Huangzhou, China
1 h-index
1 publications
17 citations
1–8 of 36
ENTCS · 2 publications · 71 citations
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1 publications · 11 citations
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1 publications · 11 citations
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1 publications · 31 citations
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1 publications · 87 citations
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