Abstract
This paper addresses two problems related to qualitative decision making: option ranking and non-sensitivity to small differences between options. In general, only a partial order of options can be established by a qualitative model, which might be insufficient particularly when the number of options is large. A qualitative model is also incapable of discriminating between slightly different options. In this paper, a solution is proposed that is based on an automatic construction of a quantitative evaluation model from the qualitative one. In addition to a qualitative class, a quantitative utility is obtained for each option, which is used to rank options within classes and to reflect the sensitivity to small differences between options.
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