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Home›Decision-making›Stochastic Multiobjective Acceptability Analysis
MCDMRankingstochastic

Stochastic Multiobjective Acceptability Analysis

SMAA (Stochastic Multiobjective Acceptability Analysis) is a ranking multi-criteria decision-making (MCDM) method introduced by Lahdelma, R., Hokkanen, J., Salminen, P. in 1998. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.

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When to use it

smaa extends SMAA to handle Stochastic uncertainty. All arithmetic operations (normalisation, weighting, distance computation) are performed using Stochastic element (distribution or scenario probabilities) algebra. The final scores are defuzzified via expected value E[x] = Σ p_k x_k before ranking.

Strengths & limitations

Strengths
  • Follows a transparent, reproducible computational procedure that can be audited step by step.
  • Handles multiple criteria of differing scales and units within a single decision matrix.
Limitations
  • Assumes full compensation — a strong score on one criterion can offset a weak score on another.

Sources

  1. Lahdelma, R., Hokkanen, J., Salminen, P. (1998). SMAA — Stochastic multiobjective acceptability analysis. European Journal of Operational Research DOI: 10.1016/S0377-2217(97)00163-X ↗

How to cite this page

ScholarGate. (2026, June 2). Stochastic Multiobjective Acceptability Analysis. ScholarGate. https://scholargate.app/en/decision-making/smaa

Similar methods

SMAA2VIKOR-SMAAPROB-ARASSAWSTOCHASTIC-UTASENSITIVITY-ANALYSISHF-SAWSOWA

Related reference concepts

Decision MakingDecision Support SystemsSensitivity Analysis in Economic EvaluationPrior Elicitation and Sensitivity AnalysisBayesian Model AveragingMultidimensional Scaling

Spotted an issue on this page? Report or suggest a fix →

ScholarGate — SMAA (Stochastic Multiobjective Acceptability Analysis). Retrieved 2026-07-21 from https://scholargate.app/en/decision-making/smaa · Dataset: https://doi.org/10.5281/zenodo.20539026
Quick facts
Originator
Lahdelma, R., Hokkanen, J., Salminen, P.
Subfamily
Ranking
Year
1998
Type
Stochastic outranking/ranking — Stochastic element (distribution or scenario probabilities)
Value Space
stochastic
Uncertainty
aleatoric
Compensation
full
Rank Reversal
No
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