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.

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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
Wageningen University & Research, Wageningen