Case-based reasoning
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Fuzzy set theory—and its applications (3rd ed.)
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Case-Based Reasoning: Experiences, Lessons and Future Directions
Dynamic Memory: A Theory of Reminding and Learning in Computers and People
Dynamic Memory: A Theory of Reminding and Learning in Computers and People
A First Course in Database Systems
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Case-Based Reasoning Technology, From Foundations to Applications
Case-Based Reasoning Technology, From Foundations to Applications
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ICCBR '01 Proceedings of the 4th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
Intelligent Sales Support with CBR
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IJCAI '97 Selected and Invited Papers from the Workshop on Fuzzy Logic in Artificial Intelligence
An Introduction to Case-Based Reasoning
Proceedings of the First United Kingdom Workshop on Progress in Case-Based Reasoning
Evolutionary Computing and Negotiating Agents
AMET '98 Selected Papers from the First International Workshop on Agent Mediated Electronic Trading on Agent Mediated Electronic Commerce
Foundations of Soft Case-Based Reasoning
Foundations of Soft Case-Based Reasoning
A unified logical model for CBR-based e-commerce systems
International Journal of Intelligent Systems
Learning adaptation knowledge to improve case-based reasoning
Artificial Intelligence
A fuzzy logic approach to experience-based reasoning: Research Articles
International Journal of Intelligent Systems
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Artificial Intelligence
PCOPM: a probabilistic CBR framework for obesity prescription management
ICIC'10 Proceedings of the Advanced intelligent computing theories and applications, and 6th international conference on Intelligent computing
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This article examines case-based reasoning (CBR) from five dif ferent perspectives: cognitive, process-oriented, logical, intelligent, and hy brid perspective. These five perspectives cover the majority of CBR research and development and classify CBR into five categories consequently: Cog nitive CBR, process CBR, logical CBR, intelligent CBR and hybrid CBR. This article looks at each of these perspectives on CBR from a unified view point taking into account corresponding fundamentals, applications and re lated issues. The proposed approach can facilitate research and development of CBR and its applications.