Abstract
AbstractSeveral classifications of the Multiple Objectives Programming (MOP) models have been proposed in the literature. In general, these classifications are based on the timing of introducing the decision‐maker's (DM) preferences and the type of the required information about the parameters of the decision‐making situation. The DM's preference information can take different forms such as: weights, priority levels, thresholds or trade‐offs among the objectives. The Goal Programming (GP) is one of the well‐known MOP models. The different GP formulations deal differently with the DM's preferences. The aim of this paper is to propose a new typology of the GP variants based on the way that the DM's preferences are considered. Copyright © 2010 John Wiley & Sons, Ltd.
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