Abstract
In health-care decision-making, the predominance of some value function multi-criteria decision analysis (MCDA) methods may obscure the existence and potential usefulness of alternative MCDA methods. The current chapter provides an introduction to alternative value function and non-value function methods. The alternative value function methods presented are approaches based on multi-attribute value theory (MAVT): measuring attractiveness by a categorical-based evaluation technique (MACBETH), Variable Interdependent Parameters (VIP) analysis, and stochastic multi-criteria acceptability analysis (SMAA). Non-value function methods described include goal programming models, dominance-based rough set approach, and outranking models. The chapter also reviews their use in health to date and ends with concluding remarks.
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Acknowledgement
The authors are grateful to Praveen Thokala, Kevin Marsh, and Ellen Campbell for their insightful comments on earlier versions of this book chapter.
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Diaby, V., Dias, L. (2017). Beyond Value Function Methods in MCDA for Health Care. In: Marsh, K., Goetghebeur, M., Thokala, P., Baltussen, R. (eds) Multi-Criteria Decision Analysis to Support Healthcare Decisions. Springer, Cham. https://doi.org/10.1007/978-3-319-47540-0_15
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DOI: https://doi.org/10.1007/978-3-319-47540-0_15
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