Abstract
In this paper, the methodology for selecting the most preferred solution from a set of non-dominated solutions developed by a multi-objective automatic vehicle identification (AVI) reader location model is proposed. Several criteria, which have not been considered in the multi-objective mathematical formulation, are incorporated in the selection method to differentiate the non-dominated solutions. Not only does the method assist the decision makers in dealing with this unmanageable set of solutions, it is also capable of taking into account the practicality issues of solution, which cannot easily be addressed in the mathematical model. The proposed method is applied to select the most preferred configuration of an AVI system for the simplified Irvine network in Orange County, California as a case study.
