Predicting Dubiosity in CBR Systems

To be able to guide the design and maintenance of Case-Based Reasoning (CBR) systems, we present a novel and domain independent method based on evolutionary techniques, for anticipating the performance of a system against a set of possible future problems by identifying low confidence regions in its case-base. Moreover, a simple experimentation is provided for illustrating the method.