Author/Authors :
Fernandez, Eduardo Faculty of Civil Engineering - Autonomous University of Sinaloa, Mexico , Gómez-Santillán, Claudia Postgraduate & Research Division - National Mexican Technology - Madero Institute of Technology , Mexico , Cruz-Reyes, Laura Postgraduate & Research Division - National Mexican Technology - Madero Institute of Technology , Mexico , Rangel-Valdez, Nelson Postgraduate & Research Division - National Mexican Technology - Madero Institute of Technology , Mexico , Bastiani, Shulamith Postgraduate & Research Division - National Mexican Technology - Madero Institute of Technology , Mexico
Abstract :
Characterizing the preferences of a decision maker in a multicriteria decision is a complex task that becomes even harder if the information available is limited. This paper addresses a particular case of project portfolio selection; in this case, the measures of project impacts are not assumed, and the available information is only projects’ ranking and costs. Usually, resource allocation follows the ranking priorities until they are depleted. This action leads to a feasible solution, but not necessarily to a good portfolio. In this paper, a good portfolio is found by solving a multiobjective problem. To effectively address such dimensionality, the decision maker’s preferences in the form of a fuzzy relational system are incorporated in an ant-colony algorithm. The Region of Interest is approached by solving a surrogate triobjective problem. The results show that the reduction of the dimensionality supports the decision maker in choosing the best portfolio.
Keywords :
Design , Solution , Project Ranking , Surrogate Model , Optimization
