A Fuzzy Goal Programming Approach to Multi-Objective Optimization for Interdependent Information System Project Selection
Seyed Shahrooz Seyedi Hosseininia, Davoud Hashemirad, Ramin Khoshchehreh Mohammadi
Project selection problems of Information System (IS) are multi-criteria decision-making (MCDM) problems that usually there are interdependencies among their criteria and candidate projects and to know these interdependency is very important in decision making for decision maker. Among the existing methodology of multi-criteria decision making (MCDM), Goal Programming (GP) is widely used for IS project selection. GP instead of the direct evaluation of criteria outcomes models explicitly the desired target value for each criterion and optimize the deviations of criteria outcomes from these goals. The solution depends on the metrics for the deviations and as well as the waiting method of the different goals. In order to provide a systematic approach to set priority among multi-criteria and tradeoff among objectives, Analytic Network Process (ANP) is suggested to be applied prior to GP formulation. With use of ANP we get to the priority among objectives then this method can generate the results that consistent with the decision maker expectation that the goal with higher priority may have higher level of satisfaction. Since a decision is usually vague, it maybe based on fuzzy numbe.