Fuzzy Sets to Find a Solution to Select Information Systems‪.‬

ABSTRACT An information system selection is strategically important for an organization. However, the review of existing information system selection models for a firm shows that there is a major shortcoming in the previous mathematical models. A goal programming or multiple objective linear programming (MOLP) cannot deal with the organizational differentiation problems. To reduce the complexity in computing the trade-offs among multiple objectives, this paper adopts a fuzzy set approach to solve information system selection problems. A solution procedure is proposed to systematically identify a satisfying selection of possible solutions that can reach the best compromised value for the multiple objectives and multiple constraint levels. The fuzzy solution can help a firm make a realistic decision regarding its information system selection problems as well as the firm's overall strategic issues when environmental factors are uncertain.