Knowledge based expert systems are one of the few successes of Artificial Intelligence research. However, despite the success of knowledge-based decision support systems in many sectors, developers have encountered problems with eliciting the necessary knowledge from the expert for their system. Knowledge elicitation is a difficult process, and implementing this elicited Knowledge into a KBS is a difficult and tedious task requiring specialist skill. A more recent approach known as case-based reasoning forms an alternative method of building expert systems. This allows the developers to limit the legacy of bottleneck in knowledge elicitation, thus limiting this or in some cases totally forgoing the knowledge elicitation process all together ...