Abstract
Utility functions have been used widely to support multi-objective decision-making. Expansion of a general additive utility function around the ideal results in a composite linear-quadratic metric of a compromise programming problem. Determining the unknown parameters of the composite linear-quadratic metric requires substantial interaction with the decision maker who might not always be available or capable to participate in such a process. We propose a non-interactive method that uses information on observed attribute levels to obtain the unknown parameters of the composite linear-quadratic metric and enables forecasting and scenario analysis. The method is illustrated with a small scale numerical example.
Original language | English |
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Pages (from-to) | 519-524 |
Journal | European Journal of Operational Research |
Volume | 244 |
Issue number | 2 |
DOIs | |
Publication status | Published - 2015 |
Keywords
- goal
- achievement
- elicitation