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A Multi-Attribute Ranking Solutions Confirmation Procedure

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  • Domingos Cardoso
  • Jorge Sousa

Abstract

Ranking problems arise from the knowledge of several binary relations defined on a set of alternatives, which we intend to rank. In a previous work, the authors introduced a tool to confirm the solutions of multi-attribute ranking problems as linear extensions of a weighted sum of preference relations. An extension of this technique allows the recognition of critical preference pairs of alternatives, which are often caused by inconsistencies. Herein, a confirmation procedure is introduced and applied to confirm the results obtained by a multi-attribute decision methodology on a tender for the supply of buses to the Porto Public Transport Operator. Copyright Springer Science + Business Media, Inc. 2005

Suggested Citation

  • Domingos Cardoso & Jorge Sousa, 2005. "A Multi-Attribute Ranking Solutions Confirmation Procedure," Annals of Operations Research, Springer, vol. 138(1), pages 127-141, September.
    • Handle: RePEc:spr:annopr:v:138:y:2005:i:1:p:127-141:10.1007/s10479-005-2449-y
    DOI: 10.1007/s10479-005-2449-y
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    References listed on IDEAS

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    1. Zanakis, Stelios H. & Solomon, Anthony & Wishart, Nicole & Dublish, Sandipa, 1998. "Multi-attribute decision making: A simulation comparison of select methods," European Journal of Operational Research, Elsevier, vol. 107(3), pages 507-529, June.
    2. van Huylenbroeck, G., 1995. "The conflict analysis method: bridging the gap between ELECTRE, PROMETHEE and ORESTE," European Journal of Operational Research, Elsevier, vol. 82(3), pages 490-502, May.
    3. Yoram Wind & Thomas L. Saaty, 1980. "Marketing Applications of the Analytic Hierarchy Process," Management Science, INFORMS, vol. 26(7), pages 641-658, July.
    4. Olson, David L., 2001. "Comparison of three multicriteria methods to predict known outcomes," European Journal of Operational Research, Elsevier, vol. 130(3), pages 576-587, May.
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    Cited by:

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    2. Rainer Bruggemann & Lars Carlsen, 2021. "Attempt to test impact values for multi-indicator systems—exemplified by gender equality," Quality & Quantity: International Journal of Methodology, Springer, vol. 55(6), pages 2219-2235, December.
    3. A. Nureize & J. Watada & S. Wang, 2014. "Fuzzy random regression based multi-attribute evaluation and its application to oil palm fruit grading," Annals of Operations Research, Springer, vol. 219(1), pages 299-315, August.
    4. Roman Vavrek, 2019. "Evaluation of the Impact of Selected Weighting Methods on the Results of the TOPSIS Technique," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 18(06), pages 1821-1843, November.

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