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

  • Authors:
  • Zhaohao Sun;Gavin Finnie

  • Affiliations:
  • School of Economics and Information Systems, University of Wollongong, Wollongong, NSW, Australia;School of Information Technology, Bond University, Gold Coast, Qld, Australia

  • Venue:
  • KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part I
  • Year:
  • 2006

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Abstract

Fuzzy reasoning, case-based reasoning (CBR) and experience-based reasoning (EBR) or natural reasoning have been seriously studied for years. However, these studies essentially can be considered as a 1-dimensional approach, because their reasoning paradigm is 1-dimensional. This paper will propose a 2-dimensional (2D) approach that represents fuzzy reasoning, CBR, and EBR in a unified way. This approach also integrates many reasoning paradigms such as abduction, deduction and similarity-based reasoning into a unified treatment. The proposed approach will facilitate research and development of fuzzy reasoning, knowledge/ experience management, knowledge-based systems, and CBR.