ABSTRACT
The EValuation of MIXed data (EVAMIX) method was originally introduced by Voogd in 1983 [1], and later promoted by Martel & Matarazzo [2]. It is based on the determination of the dominance score of an alternative on a criterion-by-criterion basis. The main difference between EVAMIX and other MCDM methods is that it can separately deal with both ordinal (qualitative) and cardinal (quantitative) criteria. Both types of data are initially normalized between 0 and 1 by employing a linear normalization approach. This method estimates the level of pair-wise dominance as the difference in scores received for each pair of alternatives by comparing the higher-performance alternative to the lesser-performance alternative. The weighted sum of the dominance scores is then calculated for each alternative. This is similar to the aggregation procedure involved in the weighted sum method.
