A fuzzy logic approach to experience-based reasoning

Experience-based reasoning (EBR) is a reasoning paradigm used in almost every human activity such as business, military missions, and teaching activities since early human history. However, EBR has not been seriously studied from either a logical or mathematical viewpoint, although casebased reasoning (CBR) researchers have, to some extent, confused CBR with EBR. This paper will attempt to fill this gap by providing a unified fuzzy logic-based treatment of EBR. More specifically, this paper first reviews the logical approach to EBR, in which eight different rules of inference for EBR are discussed. Then the paper proposes fuzzy logic-based models to these eight different rules of inference which constitute the fundamentals for all EBR paradigms from a fuzzy logic viewpoint, and therefore will form a theoretical foundation for EBR. The proposed approach will facilitate research and development of not only EBR but also knowledge management and experience management.