Journal of the Operational Research Society · 2012 · 45 citations · 26 references
BusinessDecision SciencesDecision AnalysisDecision TheoryMulti-criteria Decision MakingAggregation OperatorsAlternative RankingCriteria SelectionCriteria WeightingOutranking MethodsRanking ProblemsIndicator SelectionMulti-attribute RankingMultiple-alternative RankingPreference AggregationRanking Aggregation Algorithms
Composite indicators (CIs), constructed on the basis of the ‘benefit of the doubt’ criterion, are characterized by endogenously determined vectors of weights. In this paper, a new procedure to construct CIs is proposed in an attempt to overcome the main weakness of this family of procedures: the determination of an individual weighting vector for each alternative, which makes comparisons between alternatives difficult and the existence of multiple ties. A new procedure is proposed which, while maintaining the essence of DEA-inspired procedures determines a common weighting vector to evaluate the complete set of alternatives and includes the discrimination between alternatives as an objective of the procedure.
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