Multiple Criteria Choice Models for Quantitative and Qualitative Data
Suppose a decision-maker faces the problem of outranking a discrete number of choice-options, which are characterised by a number of judgement criteria. To solve this problem, many so called multiple criteria evaluation methods have been developed. The present paper describes a further development of one of these methods, the Regime Method.
The Regime Method is a weighting method, based on a paired comparison of choice-options. Originally, the Regime Method was developed to deal with the pure ordinal situation: only rankings are available with respect to the consequences of the choice-options related to the judgement criteria. In addition, the relative importance of the judgement criteria is a ranking of their weights.
In this paper, the situation of mixed data is addressed: as well cardinal as ordinal information may be available. Special attention is paid to the standardisation of the data. This standardisation is based on the concept of value difference functions. Apart from the final outranking of choice-options, the basic result of many multiple criteria evaluation methods, the Regime Method also produces a sensitivity analysis that can be used to investigate the robustness of the final outranking.
As a case study, the choice of an automated people mover in the city of Nijmegen (Netherlands) was used.
KeywordsPaired Comparison Difference Function Ordinal Data Judgement Criterion Choice Option
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