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.
General
Name
Compromise programming example
Program type
Compromise programming
Available since
Description
Specifications
Scale of application
x
Spatial resolution
x
Key outputs
A non-interactive method that uses information on observed attribute levels to obtain the unknown parameters of the composite linear-quadratic metric.
Time horizon
x
Time step of modeling
x
Download documents
Articles
Compromise programming: Non-interactive calibration of utility-based metrics. European Journal of Operational Research 244 (2015) 519–524. A.Kanellopoulos, J.C.Gerdessen, G.D.H.Claassen.
Contact
Address
WUR, Plant Production Systems, P.O. Box 430, 6700 AK Wageningen, The Netherlands
Email
argyris.kanellopoulos@wur.nl - Operations Research and Logistics, WUR
marcel.lubbers@wur.nl - Plant Production Systems, WUR