Stochastic quantitative and qualitative multicriteria analysis for environmental design

The conclusions will be summarized in a set of brief statements: • Multicriteria decision methods are useful evaluation methods, particularly in case of nonmonetary and intangible project effects. • Quantitative and qualitative variants of multicriterial methods do not always lead to the same results, so that in case of satisfactory quantitative information the quantitative variants are to be preferred. • The diverse multicriteria methods do not necessarily lead to the same results; the expected value method is inferior, while the discrepancy analysis is mainly useful when large discrepancies with respect to norm outcomes are not permitted; the concordance analysis and the entropy method provide rather stable and reliable results. • Interdependence analysis may be useful as a complementary tool in multicriteria methods. • A sensitivity analysis with respect to both the data input (for instance, by means of the random procedure) and the dominance relationships (for instance, by means of alternative weighing sets) is an indispensable stage in a multicriteria analysis.