The Multi-attribute Utility Method

Chapter

Abstract

In this chapter the methodology and techniques behind Multi-Attribute Utility Theory are introduced. The basic assumption underlying this theory is that a decision-maker chooses the alternative (for example, a particular dwelling) that yields the greatest multi-attribute utility from a number of possible alternatives. An alternative is seen as a bundle of attributes, such as dwelling type and number of rooms. The decision-maker is assumed to evaluate every alternative on each of its salient attributes. Furthermore, the importance of each attribute is determined. Finally, the attribute values are combined with the importance weights and aggregated into a multi-attribute utility for each alternative. The alternative with the highest multi-attribute utility is expected to be preferred. In terms of the main dimensions for distinguishing between methods and techniques for measuring housing preference and choice the multi-Attribute utility method can be characterized as measuring stated preferences and providing an outcome in the form of utilities. The approach is attribute-based (compositional) and mathematical. Often, the simple-additive combination rule is applied (compensatory rule), but non-compensatory rules (such as multiplicative rules) are also possible.

Keywords

Attribute Level Residential Environment Importance Score Salient Attribute Natural Scale 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media B.V. 2011

Authors and Affiliations

  1. 1.OTB Research Institute for the Built EnvironmentDelft University of TechnologyDelftThe Netherlands

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