6533b7d2fe1ef96bd125f76a

RESEARCH PRODUCT

Treating Ordinal Criteria in Stochastic Weight Space Analysis

Risto LahdelmaPekka SalminenKaisa Miettinen

subject

Ordinal dataDecision support systemOperations researchStochastic processGroup (mathematics)Bellman equationOrdinal analysisPreference (economics)Group decision-makingMathematics

description

We consider discrete co-operative group decision-making problems and suggest a method that is aimed at providing descriptive information about the acceptability of different decision alternatives. The method is a new variant of the Stochastic Multicriteria Acceptability Analysis (SMAA) method for discrete multicriteria decision-making problems with multiple decision makers. The new method is designed for problems where criterion information is completely or partially ordinal, that is, experts (or decision makers) have ranked the alternatives criterion-wise. The approach is particularly suitable for group decision making where either no or only partial preference information is available assuming that the group can agree on the shape of the underlying value function involving weights.

yearjournalcountryeditionlanguage
2001-01-01
https://doi.org/10.1007/978-3-642-56680-6_26