Using case-based reasoning approach to the support of ill-structured decisions

A computational cased-based reasoning model that supports ill-structured oriented classification decisions is developed. It is shown that the model can handle quantitative, qualitative, logic and nominal decision variables and can solve classification decision problems by inferencing syntactic patterns in a database of past cases. However, the model is not applicable to environments that require real-time control.