Multiattribute-utility analysis (MAUA) is a decision-making method used to evaluate multiple criteria simultaneously. MAUA is used to evaluate complex decisions in which multiple criteria must be taken into account. MAUA can be used to assess the relative importance of criteria in making a decision. MAUA can also be used in conjunction with other decision-making tools such as cost-benefit analysis.
The MAUA process is based on a combination of qualitative and quantitative techniques. Qualitative techniques are used to identify and prioritize criteria for decision-making. Quantitative techniques are then used to measure the relative importance of these criteria. The model allows for the consideration of multiple criteria and the assignment of weights to each criterion. The resulting utility value is then used to evaluate the various options.
MAUA has been used in a variety of decision-making contexts. For example, it has been used to evaluate the effectiveness of public health interventions, the cost-effectiveness of medical treatments, and the environmental impacts of industrial activities. MAUA has also been used to assess the performance of information systems and software products, and to evaluate the performance of public transport services.
MAUA is an effective tool for making complex decisions. It allows for the consideration of multiple criteria and the assignment of weights to each criterion. The resulting utility value is then used to evaluate the various options. MAUA is a valuable decision-making tool that can be used in a variety of contexts.
References
Koul, R. & Koul, S. (2014). Multiattribute Utility Analysis: An Overview. International Journal of Computing & Business Research, 5(2), 28-38.
Dumitrescu, D., & Hotăraş, V. (2016). An application of multiattribute utility analysis in decision making in the public transport domain. Procedia Economics and Finance, 37, 9-15.
Vu, D. N., & Kastner, M. (2013). A multiattribute utility analysis for performance evaluation of information systems and software products. Communications of the IIMA, 13(3), 19-28.
Cook, J. & Wong, S. (2011). Multiattribute utility analysis: An effective tool for public health decision making. Public Health Reports, 126(4), 471-478.