SMAA in Robustness analysis

Risto Lahdelma*, Pekka Salminen

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterScientificpeer-review

9 Citations (Scopus)

Abstract

Stochastic multicriteria acceptability analysis (SMAA) is a simulation based method for discrete multicriteria decision aiding problems where information is uncertain, imprecise, or partially missing. In SMAA, different kind of uncertain information is represented by probability distributions. Because SMAA considers simultaneously the uncertainty in all parameters, it is particularly useful for robustness analysis. Depending on the problem setting, SMAA determines all possible rankings or classifications for the alternatives, and quantifies the possible results in terms of probabilities. This chapter describes SMAA in robustness analysis using a real-life decision problem as an example. Basic robustness analysis is demonstrated with respect to uncertainty in criteria and preference measurements. Then the analysis is extended to consider also the structure of the decision model.

Original languageEnglish
Title of host publicationRobustness analysis in decision aiding, optimization, and analytics
EditorsMichael Doumpos, Constantin Zopounidis, Evangelos Grigoroudis
Pages1-20
Number of pages20
ISBN (Electronic) 978-3-319-33121-8
DOIs
Publication statusPublished - 2016
MoE publication typeA3 Part of a book or another research book

Publication series

NameInternational Series in Operations Research and Management Science
Volume241
ISSN (Print)08848289

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