Stochastic multicriteria acceptability analysis
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| This article, Stochastic multicriteria acceptability analysis, has recently been created via the Articles for creation process. Please check to see if the reviewer has accidentally left this template after accepting the draft and take appropriate action as necessary.
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Stochastic Multicriteria Acceptability Analysis (SMAA) is a Multiple-criteria_decision_analysis method for problems with incomplete information. This means that criteria and preference information can be uncertain, inaccurate or partially missing. Incomplete information is represented in SMAA using suitable probability distributions. The method is based on stochastic simulation by drawing random values for criteria measurements and weights from their corresponding distributions. [1]
SMAA can handle mixed cardinal and ordinal information. Ordinal information is treated by by a special joint distribution that preserves the ordinal information. [2]
A survey on different variants and applications of SMAA can be found in [3]
Open source implementations of SMAA can be found in [4]
References
- ^ Lahdelma R., Salminen P. (2001). SMAA-2: Stochastic Multicriteria Acceptability Analysis for Group Decision Making. Operations Research 49(3):444-454. http://dx.doi.org/10.1287/opre.49.3.444.11220
- ^ Sousa R., Yevseyeva I., Pinto da Costa J.F., Cardoso J.S. (2013). Multicriteria models for learning ordinal data: A literature review. In Yang X.S. Artificial Intelligence, Evolutionary Computing and Metaheuristics. Studies in Computational Intelligence 427, Springer.
- ^ Tervonen T., Figueira J. (2008) A survey on stochastic multicriteria acceptability analysis methods. Journal of Multi-Criteria Decision Analysis 15(1-2):1-14. http://dx.doi.org/10.1002/mcda.407
- ^ http://smaa.fi/