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This paper proposes a novel approach for integrating case-based reasoning (CBR) and decision theory for casebased decision analysis. CBR is employed as a methodology to reason from previous cases for building a decision model given a current situation, while decision theory is applied to the decision model learnt from previous cases to identify the most promising, secured, and rational choices. We have also tackled the issue of imprecise utility in individual cases and explained how fuzzy decision analysis can be conducted when case specific utilities are represented with fuzzy data.

A Case-Based Approach to Decision Analysis Ein fallbasiertes Verfahren zur Beschlussanalyse