Application of DEA for selecting most efficient information system project with imprecise data

The selection of best Information System (IS)‎ ‎project from many competing proposals is a critical business‎ ‎activity which is very helpful to all organizations‎. ‎While‎ ‎previous IS project selection methods are useful but have‎ ‎restricted application because they handle only cases with‎ ‎precise data‎. ‎Indeed‎, ‎these methods are based on precise data‎ ‎with less emphasis on imprecise data‎. ‎This paper proposes a new‎ ‎integrated Data Envelopment Analysis (DEA) model which is able to‎ ‎identify most efficient IS project in presence of imprecise data‎. ‎As an advantage‎, ‎proposed model identifies most efficient IS‎ ‎project by solving only one Mixed Integer Linear Programming‎ ‎(MILP)‎. ‎Applicability of proposed method is indicated by using‎ ‎data set includes specifications of 8 competing projects in Iran‎ ‎Ministry of Commerce.