摘要：DEX is a multi-attribute decision modelling methodology. Its specialty is the use of ordinal data and qualitative utility functions. Numerical attributes must be therefore categorized before use in DEX models. We present the problem of numerical data categorization and propose two methods which simplify and partly automate this task. The methods suggest interval bounds according to the desired number of categories and the preference curve of attribute values. We implemented both methods and made some experiments with typical inputs. The most interesting results are presented and analysed.
