Compromise programming example: Non-interactive calibration of utility-based metrics

Submitted by marcel.lubbers on Thu, 10/03/2019 - 10:25
General
Name
Compromise programming example
Program type
Compromise programming
Available since
Description

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.

Scale of application
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Spatial resolution
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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
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Time step of modeling
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Required to run
Required to develop
Database I/O
No
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.

 

Author(s)
A. Kanellopoulos, M. Lubbers
Address
WUR, Plant Production Systems, P.O. Box 430, 6700 AK Wageningen, The Netherlands