Modeling uncertainty in multi-criteria decision analysis. (English) Zbl 1253.91047

Durbach, Ian N.; Stewart, Theodor J.

Eur. J. Oper. Res. 223, No. 1, 1-14 (2012).

Summary: We provide a review of multiple criteria decision analysis (MCDA) for cases where attribute evaluations are uncertain. The main aim is to identify different tools which can be used to represent uncertain evaluations, and to broadly survey the available decision models that can be used to support uncertain decision making. The review includes models using probabilities or probability-like quantities; explicit risk measures such as quantiles and variances; fuzzy numbers, and scenarios. The practical assessment of uncertain outcomes and preferences associated with these outcomes is also discussed.

MSC:

91B06

Decision theory

Keywords:

decision analysis; multiple criteria analysis; risk management; uncertainty modeling

Software:

4eMka2

References:

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