Semi-supervised Rough Cost/Benefit Decisions

DOI10.3233/FI-2009-128zbMath1192.68529MaRDI QIDQ3181615

Pawan Lingras, Min Chen, Duoqian Miao

Publication date: 12 October 2009

Published in: Fundamenta Informaticae (Search for Journal in Brave)

zbMATH Keywords

decision theoryrough setsprobabilityrough approximationcost/benefit analysis\(k\)-means clustering algorithm

Mathematics Subject Classification ID

Decision theory (91B06) Learning and adaptive systems in artificial intelligence (68T05)

Related Items (5)

Granular-conditional-entropy-based attribute reduction for partially labeled data with proxy labels ⋮ Reduction target structure-based hierarchical attribute reduction for two-category decision-theoretic rough sets ⋮ Decision-theoretic rough fuzzy set model and application ⋮ An expanded double-quantitative model regarding probabilities and grades and its hierarchical double-quantitative attribute reduction ⋮ Three-way decision with co-training for partially labeled data

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