Abstract
Inaccurate or uncertain input data can be represented as probability distributions. In SMAA the decision makers need not express their preferences explicitly or implicitly; instead the technique analyses what kind of valuations would make each alternative the preferred one.
The method produces for each alternative an acceptability index measuring the variety of different valuations that support that alternative, a central weight vector representing the typical valuations resulting in that decision, and a confidence factor measuring whether the input data is accurate enough for making an informed decision.
| Original language | English |
|---|---|
| Pages (from-to) | 137-143 |
| Journal | European Journal of Operational Research |
| Volume | 106 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 1998 |
| MoE publication type | A1 Journal article-refereed |
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SMAA - Stochastic multiobjective acceptability analysis. / Lahdelma, Risto; Hokkanen, Joonas; Salminen, Pekka.
In: European Journal of Operational Research, Vol. 106, No. 1, 1998, p. 137-143.Research output: Contribution to journal › Article › Scientific › peer-review
TY - JOUR
T1 - SMAA - Stochastic multiobjective acceptability analysis
AU - Lahdelma, Risto
AU - Hokkanen, Joonas
AU - Salminen, Pekka
PY - 1998
Y1 - 1998
N2 - Stochastic multiobjective acceptability analysis (SMAA) is a multicriteria decision support technique for multiple decision makers based on exploring the weight space. Inaccurate or uncertain input data can be represented as probability distributions. In SMAA the decision makers need not express their preferences explicitly or implicitly; instead the technique analyses what kind of valuations would make each alternative the preferred one. The method produces for each alternative an acceptability index measuring the variety of different valuations that support that alternative, a central weight vector representing the typical valuations resulting in that decision, and a confidence factor measuring whether the input data is accurate enough for making an informed decision.
AB - Stochastic multiobjective acceptability analysis (SMAA) is a multicriteria decision support technique for multiple decision makers based on exploring the weight space. Inaccurate or uncertain input data can be represented as probability distributions. In SMAA the decision makers need not express their preferences explicitly or implicitly; instead the technique analyses what kind of valuations would make each alternative the preferred one. The method produces for each alternative an acceptability index measuring the variety of different valuations that support that alternative, a central weight vector representing the typical valuations resulting in that decision, and a confidence factor measuring whether the input data is accurate enough for making an informed decision.
U2 - 10.1016/S0377-2217(97)00163-X
DO - 10.1016/S0377-2217(97)00163-X
M3 - Article
VL - 106
SP - 137
EP - 143
JO - European Journal of Operational Research
JF - European Journal of Operational Research
SN - 0377-2217
IS - 1
ER -