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Stochastic Multicriteria Acceptability Analysis – Matching (SMAA-M)

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  • García-Cáceres, Rafael Guillermo

Abstract

The present work introduces Stochastic Multicriteria Acceptability Analysis – Matching (SMAA-M), a MCDM technique which, just as former SMAA versions, has been designed for public decision environments. SMMA-M is specifically intended to support the choice for one or more alternatives among a finite set of them, when this decision is based on a theoretical model or reference system. The present version introduces the notion of value range of the decision alternatives, a mathematical concept that allows modelling the system. The decision process is supported on the degree of matching between the input and output states of the system. After featuring the system through criteria, the technique allows obtaining the set of weights that support each alternative's value range and favourable criterion weight indicators. In order to illustrate this new development, the present work searches for the governance forms that minimize the transaction costs of a supply chain's major echelon.

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  • García-Cáceres, Rafael Guillermo, 2020. "Stochastic Multicriteria Acceptability Analysis – Matching (SMAA-M)," Operations Research Perspectives, Elsevier, vol. 7(C).
    • Handle: RePEc:eee:oprepe:v:7:y:2020:i:c:s221471601930171x
    DOI: 10.1016/j.orp.2020.100145
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    1. Lahdelma, Risto & Salminen, Pekka, 2006. "Classifying efficient alternatives in SMAA using cross confidence factors," European Journal of Operational Research, Elsevier, vol. 170(1), pages 228-240, April.
    2. Sergio Torres Valdivieso & Rafael Guillermo García Cáceres & John Jairo Quintero, 2005. "Formas de contratación de los servicios de urgencias: una aproximación desde la economía de los costos de transacción," Revista de Economía Institucional, Universidad Externado de Colombia - Facultad de Economía, vol. 7(12), pages 209-237, January-J.
    3. Lahdelma, Risto & Salminen, Pekka, 2009. "Prospect theory and stochastic multicriteria acceptability analysis (SMAA)," Omega, Elsevier, vol. 37(5), pages 961-971, October.
    4. Tervonen, Tommi & Lahdelma, Risto, 2007. "Implementing stochastic multicriteria acceptability analysis," European Journal of Operational Research, Elsevier, vol. 178(2), pages 500-513, April.
    5. Nagarajan, D. & Lathamaheswari, M. & Broumi, Said & Kavikumar, J., 2019. "A new perspective on traffic control management using triangular interval type-2 fuzzy sets and interval neutrosophic sets," Operations Research Perspectives, Elsevier, vol. 6(C).
    6. Lahdelma, Risto & Hokkanen, Joonas & Salminen, Pekka, 1998. "SMAA - Stochastic multiobjective acceptability analysis," European Journal of Operational Research, Elsevier, vol. 106(1), pages 137-143, April.
    7. Risto Lahdelma & Pekka Salminen, 2010. "Stochastic Multicriteria Acceptability Analysis (SMAA)," International Series in Operations Research & Management Science, in: Matthias Ehrgott & José Rui Figueira & Salvatore Greco (ed.), Trends in Multiple Criteria Decision Analysis, chapter 0, pages 285-315, Springer.
    8. Johnnie R. Charnetski & Richard M. Soland, 1978. "Multiple‐attribute decision making with partial information: The comparative hypervolume criterion," Naval Research Logistics Quarterly, John Wiley & Sons, vol. 25(2), pages 279-288, June.
    9. Williamson, Oliver E, 1993. "Calculativeness, Trust, and Economic Organization," Journal of Law and Economics, University of Chicago Press, vol. 36(1), pages 453-486, April.
    10. Jean-Philippe Hubinont, 2016. "SMAA-GAIA: a complementary tool of the SMAA-PROMETHEE method," International Journal of Multicriteria Decision Making, Inderscience Enterprises Ltd, vol. 6(3), pages 237-246.
    11. Kadziński, Miłosz & Labijak, Anna & Napieraj, Małgorzata, 2017. "Integrated framework for robustness analysis using ratio-based efficiency model with application to evaluation of Polish airports," Omega, Elsevier, vol. 67(C), pages 1-18.
    12. Bana e Costa, Carlos A., 1986. "A multicriteria decision aid methodology to deal with conflicting situations on the weights," European Journal of Operational Research, Elsevier, vol. 26(1), pages 22-34, July.
    13. Lahdelma, Risto & Miettinen, Kaisa & Salminen, Pekka, 2003. "Ordinal criteria in stochastic multicriteria acceptability analysis (SMAA)," European Journal of Operational Research, Elsevier, vol. 147(1), pages 117-127, May.
    14. Durbach, Ian & Lahdelma, Risto & Salminen, Pekka, 2014. "The analytic hierarchy process with stochastic judgements," European Journal of Operational Research, Elsevier, vol. 238(2), pages 552-559.
    15. Lahdelma, Risto & Salminen, Pekka, 2006. "Stochastic multicriteria acceptability analysis using the data envelopment model," European Journal of Operational Research, Elsevier, vol. 170(1), pages 241-252, April.
    16. Tommi Tervonen, 2014. "JSMAA: open source software for SMAA computations," International Journal of Systems Science, Taylor & Francis Journals, vol. 45(1), pages 69-81.
    17. Risto Lahdelma & Pekka Salminen, 2001. "SMAA-2: Stochastic Multicriteria Acceptability Analysis for Group Decision Making," Operations Research, INFORMS, vol. 49(3), pages 444-454, June.
    18. Miettinen, Kaisa & Salminen, Pekka, 1999. "Decision-aid for discrete multiple criteria decision making problems with imprecise data," European Journal of Operational Research, Elsevier, vol. 119(1), pages 50-60, November.
    19. Lahdelma, Risto & Makkonen, Simo & Salminen, Pekka, 2006. "Multivariate Gaussian criteria in SMAA," European Journal of Operational Research, Elsevier, vol. 170(3), pages 957-970, May.
    20. Arcidiacono, Sally Giuseppe & Corrente, Salvatore & Greco, Salvatore, 2018. "GAIA-SMAA-PROMETHEE for a hierarchy of interacting criteria," European Journal of Operational Research, Elsevier, vol. 270(2), pages 606-624.
    21. Deniz Okul & Cevriye Gencer & Emel Kizilkaya Aydogan, 2014. "A Method Based on SMAA-Topsis for Stochastic Multi-Criteria Decision Making and a Real-World Application," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 13(05), pages 957-978.
    22. Kozarević, Safet & Puška, Adis, 2018. "Use of fuzzy logic for measuring practices and performances of supply chain," Operations Research Perspectives, Elsevier, vol. 5(C), pages 150-160.
    23. Corrente, Salvatore & Figueira, José Rui & Greco, Salvatore & Słowiński, Roman, 2017. "A robust ranking method extending ELECTRE III to hierarchy of interacting criteria, imprecise weights and stochastic analysis," Omega, Elsevier, vol. 73(C), pages 1-17.
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