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

Submitted by marcel.lubbers on
    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
    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
    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