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Constructing a composite indicator with multiplicative aggregation under the objective of ranking alternatives

Author

Listed:
  • F J Blancas

    (Pablo de Olavide University, Sevilla, Spain)

  • I Contreras

    (Pablo de Olavide University, Sevilla, Spain)

  • J M Ramírez-Hurtado

    (Pablo de Olavide University, Sevilla, Spain)

Abstract

Composite indicators (CIs), constructed on the basis of the ‘benefit of the doubt’ criterion, are characterized by endogenously determined vectors of weights. In this paper, a new procedure to construct CIs is proposed in an attempt to overcome the main weakness of this family of procedures: the determination of an individual weighting vector for each alternative, which makes comparisons between alternatives difficult and the existence of multiple ties. A new procedure is proposed which, while maintaining the essence of DEA-inspired procedures determines a common weighting vector to evaluate the complete set of alternatives and includes the discrimination between alternatives as an objective of the procedure.

Suggested Citation

  • F J Blancas & I Contreras & J M Ramírez-Hurtado, 2013. "Constructing a composite indicator with multiplicative aggregation under the objective of ranking alternatives," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 64(5), pages 668-678, May.
    • Handle: RePEc:pal:jorsoc:v:64:y:2013:i:5:p:668-678
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    Citations

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    Cited by:

    1. Hélène, Buchholzer & Marjolaine, Frésard & Christelle, Le Grand & Le Floc'h, Pascal, 2022. "Vulnerability and spatial competition: The case of fisheries and offshore wind projects," Ecological Economics, Elsevier, vol. 197(C).
    2. Lozano-Oyola, Macarena & Contreras, Ignacio & Blancas, Francisco Javier, 2019. "An Operational Non-compensatory Composite Indicator: Measuring Sustainable Tourism in Andalusian Urban Destinations," Ecological Economics, Elsevier, vol. 159(C), pages 1-10.
    3. Chen, Po-Chi & Yu, Ming-Miin & Shih, Jou-Chen & Chang, Ching-Cheng & Hsu, Shih-Hsun, 2019. "A reassessment of the Global Food Security Index by using a hierarchical data envelopment analysis approach," European Journal of Operational Research, Elsevier, vol. 272(2), pages 687-698.
    4. Rogge, Nicky, 2018. "Composite indicators as generalized benefit-of-the-doubt weighted averages," European Journal of Operational Research, Elsevier, vol. 267(1), pages 381-392.

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