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

Jindong Qin (), Yingying Liang (), Luis Martinez (), Alessio Ishizaka () and Witold Pedrycz ()
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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

Annals of Operations Research, 2023, vol. 325, issue 2, No 6, 875-909

Abstract: 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.

Keywords: Multiple criteria analysis; Sorting problem; ORESTE-SORT; Port group competitiveness (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (1)

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DOI: 10.1007/s10479-022-04991-y

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