Multi-Criteria Support Systems for Group Decision Making

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MCDA models combine multiple dimensions of value (“attributes”) into a single metric, hence allowing evaluation of healthcare interventions in comprehensive ways using specific decision-makers’ values. Using different approaches, all MCDA models have two common features: (a) elicitation of decision makers’ values, and (b) transforming the performance of candidates (on multiple dimensions of value) into common scales (“data scaling”). This course emphasizes how to accomplish these key steps when groups (vs. individuals) are the decision makers (or are advising a final single decision maker). Various MCDA models differ substantially on the number of decisions required (by decision makers) to complete the models, a complexity that is exacerbated in settings with group decision making (voting...