A Pseudo-Boolean Optimization for Multiple Criteria Decision Making in Complex Systems

Authors:
Bahram Alidaee;Haibo Wang;Yaquan Xu
Affiliations:
University of Mississippi, University, MS 38677, USA;Texas A& M International University, Laredo, TX 78041, USA;Viginia State University, Petersburg, VA 23806, USA
Venue:
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part IV: ICCS 2007
Year:
2007

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Abstract

In complex system problems, a Decision Maker (DM) is often faced with choosing a subset of alternatives from a bigger set. This process is known as multiple criteria decision making (MCDM). Examples of MCDM include decision making in human resource management, water resource management, environmental management and site selection, energy policy issues, portfolio selection, transportation and routing selection, student admission. In general, there are several criteria that need to be satisfied; however, they are usually at least partly conflicting. In this study, we propose a pseudo-boolean approach for multiple criteria decision making on complex system problems. The computational results illustrate both robustness and attractiveness of this solution approach.