SMAA-2: Stochastic Multicriteria Acceptability Analysis for Group Decision Making

By Risto Lahdelma, Pekka Salminen. Operational Research, 2001

593 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Management Science and Operations Research, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/e8b80f79df616a4280d959672148f86d468ce76d

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Citations in the corpus

Decision Support for Forest Management (2008, methodology): “Then, its acceptability is calculated as the expected volume of Wi , proportional to total weight space volume as (Lahdelma et al. 1998; Lahdelma and Salminen 2001; Miettinen et al. 1999)”
Evaluating sustainable fishing development strategies using fuzzy MCDM approach (2005, methodology): “[9], and stochastic multiobjective acceptability analysis methods (SMAA) [10–12], SMAA-DEA [13].”
On the Methodological Framework of Composite Indices: A Review of the Issues of Weighting, Aggregation, and Robustness (2018, background): “Stochastic multi-attribute acceptability analysis (SMAA; Lahdelma et al. 1998; Lahdelma and Salminen 2001) has become popular in multiple criteria decision analysis for dealing with the issue of uncertainty in the data or the preferences required by the decision maker during the evaluation process (”
Stochastic multi-attribute analysis (SMAA) as an interpretation method for comparative life-cycle assessment (LCA) (2014, methodology): “Conventional SMAA methods examine the entire feasible weight space or a range (Lahdelma and Salminen 2001; Lahdelma et al. 1998), but SMAA-TY elicits weights in terms of the relative importance of each criterion according to six levels of importance: well above average, above average, average,…”
Implementing stochastic multicriteria acceptability analysis (2007, methodology): “The basic SMAA-2 method The SMAA-2 method (Lahdelma and Salminen, 2001) has been developed for discrete stochastic T. Tervonen, R. Lahdelma / European Journal of Operational Research 178 (2007) 500–513 501 multicriteria decision-making problems with multiple DMs. SMAA-2 applies inverse weight space…”
Stochastic multi-attribute acceptability analysis (SMAA): an application to the ranking of Italian regions (2018, methodology): “Within MCDA these questions were addressed by SMAA (Lahdelma & Salminen, 2001; Lahdelma et al., 1998; for two surveys, see Lahdelma & Salminen, 2010; and Tervonen & Figueira, 2008).”