Similarity Measures for Case-Based Reasoning Systems

A case-based reasoning (CBR) system is only as good as the cases within its Case Base and its ability to retrieve those cases in response to a new situation. In this paper we focus on the case retrieval problem and on the computation of similarity measures between cases. We illustrate this problem by showing an application of our CBR system, named CARS, Combining Approximate Reasoning Systems, in the domain of Mergers and Acquisitions.

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