SMAA in Robustness Analysis

  • Risto LahdelmaEmail author
  • Pekka Salminen
Part of the International Series in Operations Research & Management Science book series (ISOR, volume 241)


Stochastic multicriteria acceptability analysis (SMAA) is a simulation based method for discrete multicriteria decision aiding problems where information is uncertain, imprecise, or partially missing. In SMAA, different kind of uncertain information is represented by probability distributions. Because SMAA considers simultaneously the uncertainty in all parameters, it is particularly useful for robustness analysis. Depending on the problem setting, SMAA determines all possible rankings or classifications for the alternatives, and quantifies the possible results in terms of probabilities. This chapter describes SMAA in robustness analysis using a real-life decision problem as an example. Basic robustness analysis is demonstrated with respect to uncertainty in criteria and preference measurements. Then the analysis is extended to consider also the structure of the decision model.


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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.Energy TechnologyAalto UniversityEspooFinland
  2. 2.School of Business and EconomicsUniversity of JyväskyläJyväskyläFinland

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