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Serial correlation estimation through the imprecise Goal Programming model
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DOI：10.1016/j.ejor.2005.10.004.png)
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Abstract
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The Goal Programming (GP) model was used as a time-series analysis toot that incorporates a Serial Correlation where the dependent variable is considered as precise. This formulation does not take into consideration the decision-maker's preferences. However, the dependent variable can be imprecise and its value can be expressed through an interval. The aim of this paper is to develop a new formulation of the GP model for regression with Serial Correlation where the dependent variable is imprecise. The proposed model will also integrate explicitly the decision-maker's preferences. A numerical example was used to illustrate our model. (c) 2005 Elsevier B.V. All rights reserved.
Keywords:
imprecise Goal Programming
autocorrelated error
decision-maker's preferences
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