Zinc ore supplier evaluation and recommendation method based on nonlinear adaptive online transfer learning

DOI10.3934/jimo.2021193OpenAlexW3217218025MaRDI QIDQ2083388

Yanyan Li

Publication date: 10 October 2022

Published in: Journal of Industrial and Management Optimization (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3934/jimo.2021193

zbMATH Keywords

recommendation systemOTLsupplier decision-making

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Management decision making, including multiple objectives (90B50) Transportation, logistics and supply chain management (90B06) Computing methodologies for information systems (hypertext navigation, interfaces, decision support, etc.) (68U35) Online algorithms; streaming algorithms (68W27)

Cites Work

• The analytic hierarchy process—what it is and how it is used
• Online transfer learning
• A survey on concept drift adaptation

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