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Other Outranking Approaches

In: Multiple Criteria Decision Analysis: State of the Art Surveys

Author

Listed:
  • Jean-Marc Martel

    (University of Laval)

  • Benedetto Matarazzo

    (University of Catania)

Abstract

In this chapter, we shortly describe some outranking methods other than ELECTRE and PROMETHEE. All these methods (QUALIFLEX, REGIME, ORESTE, ARGUS, EVAMIX, TACTIC and MELCHIOR) propose definitions and computations of particular binary relations, more or less linked to the basic idea of the original ELECTRE methods. Beside them, we will also describe other outranking methods (MAPPAC, PRAGMA, IDRA and PACMAN) that have been developed in the framework of the Pairwise Criterion Comparison Approach (PCCA) methodology, whose peculiar feature is to split the binary relations construction phase in two steps: in the first one, each pair of actions is compared with respect to two criteria a time; in the second step, all these partial preference indices are aggregated in order to obtain the final binary relations. Finally, one outranking method for stochastic data (the Martel and Zaras’ method) is presented, based on the use of stochastic dominance relations between each pair of alternatives.

Suggested Citation

  • Jean-Marc Martel & Benedetto Matarazzo, 2005. "Other Outranking Approaches," International Series in Operations Research & Management Science, in: Multiple Criteria Decision Analysis: State of the Art Surveys, chapter 0, pages 197-259, Springer.
    • Handle: RePEc:spr:isochp:978-0-387-23081-8_6
    DOI: 10.1007/0-387-23081-5_6
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    Citations

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    Cited by:

    1. Lucia Della Spina, 2020. "Adaptive Sustainable Reuse for Cultural Heritage: A Multiple Criteria Decision Aiding Approach Supporting Urban Development Processes," Sustainability, MDPI, vol. 12(4), pages 1-20, February.
    2. Luis C. Dias & Humberto Rocha, 2023. "A stochastic method for exploiting outranking relations in multicriteria choice problems," Annals of Operations Research, Springer, vol. 321(1), pages 165-189, February.
    3. A. Psomas & I. Vryzidis & A. Spyridakos & M. Mimikou, 2021. "MCDA approach for agricultural water management in the context of water–energy–land–food nexus," Operational Research, Springer, vol. 21(1), pages 689-723, March.
    4. Angilella, Silvia & Giarlotta, Alfio, 2009. "Implementations of PACMAN," European Journal of Operational Research, Elsevier, vol. 194(2), pages 474-495, April.
    5. Hajkowicz, Stefan & Higgins, Andrew, 2008. "A comparison of multiple criteria analysis techniques for water resource management," European Journal of Operational Research, Elsevier, vol. 184(1), pages 255-265, January.
    6. Chao Tian & Wen Yu Zhang & Shuai Zhang & Juan Juan Peng, 2019. "An Extended Single-Valued Neutrosophic Projection-Based Qualitative Flexible Multi-Criteria Decision-Making Method," Mathematics, MDPI, vol. 7(1), pages 1-16, January.
    7. Kubińska, Elżbieta & Adamczyk-Kowalczuk, Magdalena & Andrzejewski, Mariusz & Rozakis, Stelios, 2022. "Incorporating the status quo effect into the decision making process: The case of municipal companies merger," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).
    8. Szántó, Richárd, 2012. "Több szempontú részvételi döntések a fenntarthatósági értékelésekben. A legnépszerűbb módszerek összehasonlítása [Participatory multi-criteria decision analysis. A comparison of methodologies]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(12), pages 1336-1355.
    9. Angilella, Silvia & Giarlotta, Alfio & Lamantia, Fabio, 2010. "A linear implementation of PACMAN," European Journal of Operational Research, Elsevier, vol. 205(2), pages 401-411, September.
    10. Constantin Zopounidis & Michael Doumpos, 2013. "Multicriteria decision systems for financial problems," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 21(2), pages 241-261, July.
    11. Doumpos, Michael & Zopounidis, Constantin, 2011. "Preference disaggregation and statistical learning for multicriteria decision support: A review," European Journal of Operational Research, Elsevier, vol. 209(3), pages 203-214, March.
    12. John Bradley & Timo Mitze & Edgar Morgenroth & Gerhard Untiedt, 2006. "How can we know if EU cohesion policy is successful? Integrating micro and macro approaches to the evaluation of Structural Funds," Working Papers 1-2006, GEFRA - Gesellschaft fuer Finanz- und Regionalanalysen.

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