On generating utility functions in Stochastic Multicriteria Acceptability Analysis

Autor(en)
Luis Dias, Rudolf Vetschera
Abstrakt

Stochastic Multicriteria Acceptability Analysis (SMAA) has become a popular Multi-Criteria Decision Aiding tool when some parameters of the decision problem are uncertain or have not been set. SMAA methods use Monte-Carlo simulation of the uncertain values to obtain indicators that inform decision making. While there is considerable literature on sampling of attribute weights, the problem of generating utility values is addressed less frequently. In this paper, we show that direct assignment of random utility values can lead to a biased sample of utility functions. We then introduce new methods to avoid this bias and discuss desirable properties for generating such utility functions. Then, we present a computational study to compare the different methods with regards to the desired properties, concluding that the new approaches perform much better. We also show how these techniques can be extended to consider only utility functions of a specific shape such as concave, convex or s-shaped. Besides SMAA multi-criteria analyses, the techniques studied in this paper can also be used in other contexts, e.g., decision trees and game theory, whenever utility functions need to be simulated to inform decision makers or to study the behavior of different methods.

Organisation(en)
Institut für Business Decisions and Analytics
Externe Organisation(en)
Universidade de Coimbra
Journal
European Journal of Operational Research
Band
278
Seiten
672-685
Anzahl der Seiten
14
ISSN
0377-2217
DOI
https://doi.org/10.1016/j.ejor.2019.04.031
Publikationsdatum
10-2019
Peer-reviewed
Ja
ÖFOS 2012
502052 Betriebswirtschaftslehre
Schlagwörter
ASJC Scopus Sachgebiete
Information Systems and Management, Computer Science(all), Modelling and Simulation, Management Science and Operations Research
Link zum Portal
https://ucris.univie.ac.at/portal/de/publications/on-generating-utility-functions-in-stochastic-multicriteria-acceptability-analysis(5716cb87-e006-44ad-ab6f-857a1c31c83c).html