A Unified 2D Representation of Fuzzy Reasoning, CBR and Experience Based Reasoning

Zhaohao Sun, University of Wollongong, Wollongong, NSW
Gavin Finnie, Bond University

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.