CASE-BASED REASONING - INDEXING STRATEGY

Case-Based Reasoning (CBR) uses similar past situations to solve curre nt problems. A major difficulty of CBR systems is getting them to choo se automatically the references that will qualify each situation (case ). Thus, the indexing process is primordial. The objective of this art icle is to clarify what is needed to choose an appropriate indexing st rategy. We present the results of a comparative study of seven importa nt indexing techniques used in CBR systems. Based on the characteristi cs identified in a recent survey of literature, we explain the reasons for using these techniques or developing new ones. Moreover, a strate gy based on a combination of several techniques is a solution that aim s to avoid their disadvantages and increase the indexing process perfo rmance. Finally, techniques allowing a memory representation of the ca se base, such as inductive ones, should be considered first.