 Stochastic Multicriteria Acceptability Analysis – Matching (SMAA-M)Rafael Guillermo García-Cáceres Operations Research Perspectives, 2020, vol. 7, issue C 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. Keywords: Decision making process; Multicriteria; Stochastic multicriteria acceptability analysis - SMAA (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:oprepe:v:7:y:2020:i:c:s221471601930171x DOI: 10.1016/j.orp.2020.100145 Access Statistics for this article Operations Research Perspectives is currently edited by Rubén Ruiz Garcia More articles in Operations Research Perspectives from Elsevier |
Is your work missing from RePEc? Here is how to contribute.
Questions or problems? Check the EconPapers FAQ or send mail to .
EconPapers is hosted by the
School of Business at Örebro University.