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A multi-view approach to multi-criteria decision making

Author

Listed:
  • Francisco J. dos Santos
  • André L.V. Coelho

Abstract

In this paper, we investigate a new approach to multi-criteria decision making (MCDM) centred upon the application of canonical correlation analysis (CCA) to distinct groups of judgement criteria. By resorting to MV-MCDM (multi-view multi-criteria decision making), one can estimate reliable values for criteria weights via CCA for multi-view multi-criteria problems; reduce the dimensionality of the decision matrix by considering only one of the available views; and easily extend well-known MCDM methods, such as simple additive weighting (SAW) and technique for order of preferences by similarity to ideal solution (TOPSIS). MV-MCDM also allows the adoption of different aggregation methods (such as the Choquet integral and a new heuristic based on radar charts) to generate the overall scores of the alternatives. A numerical example with the multi-view versions of SAW and TOPSIS demonstrates the applicability of the novel approach.

Suggested Citation

  • Francisco J. dos Santos & André L.V. Coelho, 2023. "A multi-view approach to multi-criteria decision making," International Journal of Information and Decision Sciences, Inderscience Enterprises Ltd, vol. 15(1), pages 1-26.
    • Handle: RePEc:ids:ijidsc:v:15:y:2023:i:1:p:1-26
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