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

Zhaohao Sun | Zendy; Gavin Finnie | Zendy

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

Author(s) -

Zhaohao Sun,

Gavin Finnie

Publication year - 2006

Publication title -

lecture notes in computer science

Language(s) - English

Resource type - Book series

SCImago Journal Rank - 0.249

H-Index - 400

eISSN - 1611-3349

pISSN - 0302-9743

ISBN - 3-540-46535-9

DOI - 10.1007/11892960_134

Subject(s) - case based reasoning , model based reasoning , reasoning system , computer science , opportunistic reasoning , qualitative reasoning , deductive reasoning , artificial intelligence , knowledge representation and reasoning , automated reasoning , adaptive reasoning , similarity (geometry) , fuzzy logic , non monotonic logic , analytic reasoning , representation (politics) , image (mathematics) , politics , political science , law

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.

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