Relations among Case Defining Function, Case Selecting Function and Case Modifying Function in CBR System

Abstract

This paper describes an application of Case-Based Reasoning (CBR) system for a design problem of Nb-Ti superconducting wire. The developed system has two distinctive features : (1) Basic similarity degree between cases is derived using fuzzy matching. (2) Additionally, another similarity degree is defined considering the basic similarity degree and case modifying knowledge base. This similarity degree, which is named extended similarity degree, is the only criterion when selecting a past case similar to the given problem. Therefore, the case selecting function depends on the case modifying knowledge base. Moreover, it is shown that the case defining function is also effected by the case modifying knowledge base.