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ORESTE-SORT: a novel multiple criteria sorting method for sorting port group competitiveness

Author

Listed:
  • Jindong Qin

    (Wuhan University of Technology)

  • Yingying Liang

    (Beijing Institute of Technology)

  • Luis Martinez

    (University of Jaén)

  • Alessio Ishizaka

    (NEOMA Business School)

  • Witold Pedrycz

    (University of Alberta)

Abstract

In modern logistics, port transportation plays an important role in the development of the surrounding economy. However, to determine the level of port group competitiveness, regional ports must be classified. To realize this classification, this paper introduces a novel multiple criteria sorting method, ORESTE-SORT, together with its main characteristics and properties. This approach can help in handling three types of preference relationships among alternatives and profiles: preference, indifference, and incomparability. In addition, a novel sorting rule, the assignment rule driven by attitudes (ARDA), is introduced to allocate alternatives to predefined categories based on the generalization of two classical sorting rules: optimistic and pessimistic rules. We also perform a case study to illustrate the suitability of the proposed sorting method for sorting port group competitiveness. Finally, sensitivity analysis and comparative analysis are performed with the ELECTRE-SORT method to determine the effectiveness of ORESTE-SORT, following which the capability of this new sorting methodology is further discussed.

Suggested Citation

  • Jindong Qin & Yingying Liang & Luis Martinez & Alessio Ishizaka & Witold Pedrycz, 2023. "ORESTE-SORT: a novel multiple criteria sorting method for sorting port group competitiveness," Annals of Operations Research, Springer, vol. 325(2), pages 875-909, June.
    • Handle: RePEc:spr:annopr:v:325:y:2023:i:2:d:10.1007_s10479-022-04991-y
    DOI: 10.1007/s10479-022-04991-y
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    References listed on IDEAS

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