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Multiattribute Utility Theory (MAUT)

In: Multiple Criteria Decision Analysis

Author

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  • James S. Dyer

    (The McCombs School of Business, The University of Texas at Austin)

Abstract

In this chapter, we provide a review of multiattribute utility theory. We begin with a brief review of single-attribute preference theory, and explore preference representations that measure a decision maker’s strength of preference and her preferences for risky alternatives. We emphasize the distinction between these two cases, and then explore the implications for multiattribute preference models. We describe the multiattribute decision problem, and discuss the conditions that allow a multiattribute preference function to be decomposed into additive and multiplicative forms under conditions of certainty and risk. The relationships among these distinct types of multiattribute preference functions are then explored, and issues related to their assessment and applications are surveyed.

Suggested Citation

  • James S. Dyer, 2016. "Multiattribute Utility Theory (MAUT)," International Series in Operations Research & Management Science, in: Salvatore Greco & Matthias Ehrgott & José Rui Figueira (ed.), Multiple Criteria Decision Analysis, edition 2, chapter 0, pages 285-314, Springer.
    • Handle: RePEc:spr:isochp:978-1-4939-3094-4_8
    DOI: 10.1007/978-1-4939-3094-4_8
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    Citations

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    Cited by:

    1. Faris A. AlFaraidy & Kishore Srinivasa Teegala & Gaurav Dwivedi, 2023. "Selection of a Sustainable Structural Floor System for an Office Building Using the Analytic Hierarchy Process and the Multi-Attribute Utility Theory," Sustainability, MDPI, vol. 15(17), pages 1-21, August.
    2. Smeulders, Bart & Crama, Yves & Spieksma, Frits C.R., 2019. "Revealed preference theory: An algorithmic outlook," European Journal of Operational Research, Elsevier, vol. 272(3), pages 803-815.
    3. Figueira, José Rui & Oliveira, Henrique M. & Serro, Ana Paula & Colaço, Rogério & Froes, Filipe & Robalo Cordeiro, Carlos & Diniz, António & Guimarães, Miguel, 2023. "A multiple criteria approach for building a pandemic impact assessment composite indicator: The case of COVID-19 in Portugal," European Journal of Operational Research, Elsevier, vol. 309(2), pages 795-818.
    4. Xiaobing Yu & Chenliang Li & Hong Chen & Zhonghui Ji, 2020. "Evaluate Air Pollution by Promethee Ranking in Yangtze River Delta of China," IJERPH, MDPI, vol. 17(2), pages 1-18, January.
    5. Dinis, Duarte Caldeira & Figueira, José Rui & Teixeira, Ângelo Palos, 2023. "A multiple criteria approach for ship risk classification: An alternative to the Paris MoU Ship Risk Profile," Socio-Economic Planning Sciences, Elsevier, vol. 90(C).
    6. Francis Marleau Donais & Irène Abi-Zeid & E. Owen D. Waygood & Roxane Lavoie, 2019. "A review of cost–benefit analysis and multicriteria decision analysis from the perspective of sustainable transport in project evaluation," EURO Journal on Decision Processes, Springer;EURO - The Association of European Operational Research Societies, vol. 7(3), pages 327-358, November.
    7. Doan, N.A.V. & De Smet, Y., 2018. "An alternative weight sensitivity analysis for PROMETHEE II rankings," Omega, Elsevier, vol. 80(C), pages 166-174.
    8. Tobias Witt & Matthias Klumpp, 2021. "Multi-Period Multi-Criteria Decision Making under Uncertainty: A Renewable Energy Transition Case from Germany," Sustainability, MDPI, vol. 13(11), pages 1-20, June.
    9. Luís Valadares Tavares & Pedro Arruda, 2022. "A Multi-Criteria Model to Evaluate Public Services Contracts," International Business Research, Canadian Center of Science and Education, vol. 15(3), pages 1-85, March.

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