The aim of this chapter is to provide guidance regarding the various types and sources of uncertainty that influence the outcome of a multi-criteria decision analysis (MCDA) model. For each MCDA step, i.e., structuring, scoring, weighting, and aggregating, we will describe sources of uncertainty and point to methods to deal with these uncertainties. Also the use of sensitivity analyses and the relevance of qualifying and quantifying uncertainty in MCDA will be discussed. The consideration of uncertainty is a difficult but important balancing act between capturing the complex uncertainties of the decision and keeping the MCDA comprehensible for decision makers.
CITATION STYLE
Groothuis-Oudshoorn, C. G. M., Broekhuizen, H., & Van Til, J. (2017). Dealing with uncertainty in the analysis and reporting of MCDA. In Multi-Criteria Decision Analysis to Support Healthcare Decisions (pp. 67–85). Springer International Publishing. https://doi.org/10.1007/978-3-319-47540-0_5
Mendeley helps you to discover research relevant for your work.