Evaluating Multi-criteria Decisions Under Conditions of Strong Uncertainty

Danielson, M., Ekenberg, L. ORCID: https://orcid.org/0000-0002-0665-1889, & Larsson, A. (2022). Evaluating Multi-criteria Decisions Under Conditions of Strong Uncertainty. In: Multicriteria and Optimization Models for Risk, Reliability, and Maintenance Decision Analysis. Eds. de Almeida, A.T., Ekenberg, L. ORCID: https://orcid.org/0000-0002-0665-1889, Scarf, P., Zio, E., & Zuo, M.J., pp. 41-55 Springer. ISBN 978-3-030-89647-8 10.1007/978-3-030-89647-8_3.

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Abstract

Decisions under risk and multi-criteria decisions are unfortunately usually studied independently, despite the fact that in actual decision-making problems often contain several criteria, as well as uncertain outcomes. This is unnecessary since the two approaches can quite straightforwardly be used within the same framework. This article describes how it can be done when the decision components are imprecise in terms of intervals and qualitative estimates. We also demonstrate an implementation of the theory on a real-life decision problem.

Item Type:	Book Section
Uncontrolled Keywords:	Decision analysis; Decision tool; Evaluation; Imprecision; Multiple criteria; Strong uncertainty
Research Programs:	Advancing Systems Analysis (ASA) Advancing Systems Analysis (ASA) > Cooperation and Transformative Governance (CAT)
Depositing User:	Luke Kirwan
Date Deposited:	14 Jul 2022 06:53
Last Modified:	14 Jul 2022 06:53
URI:	https://pure.iiasa.ac.at/18116

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