Abductive case-based reasoning: Research Articles

Authors:
Zhaohao Sun;Gavin Finnie;Klaus Weber
Affiliations:
School of Economics and Information Systems, University of Wollongong, Wollongong NSW 2522, Australia;Faculty of Information Technology, Bond University, Gold Coast QlD 4229, Australia;Lufthansa Systems Berlin GmbH, Fritschestr. 27-28, D-10585 Berlin, Germany
Venue:
International Journal of Intelligent Systems
Year:
2005

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A unified 2d representation of fuzzy reasoning, CBR, and experience based reasoning

KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part I

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Abstract

This article introduces abductive case-based reasoning (CBR) and attempts to show that abductive CBR and deductive CBR can be integrated in clinical process and problem solving. Then it provides a unified formalization for integration of abduction, abductive CBR, deduction, and deductive CBR. This article also investigates abductive case retrieval and deductive case retrieval using similarity relations, fuzzy similarity relations, and similarity metrics. The proposed approach demonstrates that the integration of deductive CBR and abductive CBR is of practical significance in problem solving such as system diagnosis and analysis, and will facilitate research of abductive CBR and deductive CBR. © 2005 Wiley Periodicals, Inc. Int J Int Syst 20: 957–983, 2005.