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Note—A Preference Ranking Organisation Method
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1985
Year
Mathematical ProgrammingRanking AlgorithmEngineeringLearning To RankMultiple-criteria Decision AnalysisOperations ResearchInformation RetrievalData ScienceData MiningPreference LearningManagementCombinatorial OptimizationDecision TheoryMechanism DesignQuantitative ManagementPreference ModelingPromethee ApproachKnowledge DiscoverySocial RankingPromethee IiComputer ScienceInformation ManagementPreference AggregationNew FamilyDecision Science
The method extends the concept of a criterion to develop a new family of outranking techniques. The paper introduces a PROMETHEE approach designed to be easily understood by decision‑makers. Six extensions, each defined by at most two economically meaningful parameters, are used to build a valued outranking graph via a preference index, and two strategies are explored to rank alternatives from this graph. PROMETHEE I yields a partial preorder, while PROMETHEE II produces a total preorder over the alternatives.
Principles for a new family of outranking methods are given. The main aim of the proposed PROMETHEE approach is to be as easily understood as possible by the decision-maker. It is based on extensions of the notion of criterion. Six possible extensions are considered. These extensions can easily be identified by the decision-maker because the parameters to be defined (at most 2) have an economic significance. A valued outranking graph is constructed by using a preference index. Two possibilities are considered to solve the ranking problem by using this valued graph. PROMETHEE I provides a partial preorder and PROMETHEE II a total preorder on the set of the possible actions.
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