Subjective Weights Based Meta-Learning in Multi-criteria Decision Making

DOI10.1007/978-3-319-05945-7_7zbMath1393.68149OpenAlexW166278806WikidataQ57558362 ScholiaQ57558362MaRDI QIDQ4581191

Hamido Fujita, Yu-Chien Ko

Publication date: 23 August 2018

Published in: Advances in Soft Computing, Intelligent Robotics and Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-319-05945-7_7

zbMATH Keywords

dominance-based rough set approach (DRSA)subjective weightsmeta learning (ML)preference utility

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Reasoning under uncertainty in the context of artificial intelligence (68T37)

Cites Work

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• A scaling method for priorities in hierarchical structures
• Rough set approach to knowledge-based decision support
• Linguistic decision analysis: steps for solving decision problems under linguistic information.
• Multiple criteria decision analysis. State of the art surveys
• Metalearning
• Elicitation of Personal Probabilities and Expectations
• Rough sets theory for multicriteria decision analysis
• Integrating multiplicative preference relations in a multipurpose decision-making model based on fuzzy preference relations.
• Rough sets, decision algorithms and Bayes' theorem

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