A case-based system for decision-making in the presence of uncertainty

The development of techniques to consider the uncertainty in the process of making of decisions is one of the fundamental tasks of many investigators in the field of Artificial Intelligence. In Knowledge Based Systems, like particular systems for the making of decisions, the use of these techniques is of special consideration. In this article the problem of the uncertainty is analyzed in the Cases Based Systems and we propose a model that shows ways for its determination and handling, using probabilistic techniques combined with concepts of the Rough Sets theory. The proposed model is based in a case base organization, which allows the calculation of the certainty of the values as well as the recovery process.