Robustness Analysis of Outranking Digraphs

Raymond Bisdorff

Chapter Chapter 19 in Algorithmic Decision Making with Python Resources, 2022, pp 261-277 from Springer

Abstract: Abstract The required cardinal significance weights of the performance criteria represent the ‘Achilles’ heel of the outranking approach. Rarely will indeed a decision maker be cognitively competent for suggesting precise decimal-valued criteria significance weights. More often, the decision problem will involve more or less equally important decision objectives with more or less equi-significant criteria per objective. In this chapter, we study the robustness of the outranking digraph when the criteria significance weights faithfully indicate solely an order of importance.

Date: 2022
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DOI: 10.1007/978-3-030-90928-4_19

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