期刊
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
卷 244, 期 2, 页码 519-524出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.ejor.2015.01.031
关键词
Utility optimization; Goal programming; Compromise programming; Preferential weights; Model calibration
资金
- TI Food and Nutrition
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. (C) 2015 Elsevier B.V. All rights reserved.
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