1 A Fuzzy Multicriteria Analysis Approach Using Pairwise Comparison to Selecting Information Systems Projects under Uncertainty Hepu Deng and Santoso Wibowo School of Business Information Technology, RMIT University GPO Box 2476 V, Melbourne 3001 Victoria, Australia Email: {hepu.deng; santoso.wibowo}@rmit.edu.au Abstract This paper presents a fuzzy multicriteria analysis approach for effectively solving the information systems project selection problem. To adequately handle the multi-dimensional nature of the selection process, the multicriteria analysis methodology is applied. To effectively model the subjectiveness and imprecision of the decision making process, linguistic variables approximated by triangular fuzzy numbers are used. To greatly reduce the cognitive demanding on the decision maker, the pairwise comparison technique is adopted in evaluating the performance of alternative information systems projects and the relative importance of the selection criteria. To avoid the complicated and unreliable process of comparing and ranking fuzzy utilities often required in fuzzy multi-criteria analysis, the concept of the degree of dominance between alternatives is introduced for calculating an overall performance index for every alternative information systems project across all criteria. An example is presented for demonstrating the applicability of the proposed approach for effectively addressing the information systems project selection problem. Keywords: Multicriteria Analysis; Uncertainty Modeling; Fuzzy Sets; Degree of Dominance, Pairwise Comparison