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Development of a Project Selection Method on Information System Using ANP and Fuzzy Logic

Authors: Ingu Kim, Shangmun Shin, Yongsun Choi, Nguyen Manh Thang, Edwin R. Ramos, Won-Joo Hwang

Abstract:

Project selection problems on management information system (MIS) are often considered a multi-criteria decision-making (MCDM) for a solving method. These problems contain two aspects, such as interdependencies among criteria and candidate projects and qualitative and quantitative factors of projects. However, most existing methods reported in literature consider these aspects separately even though these two aspects are simultaneously incorporated. For this reason, we proposed a hybrid method using analytic network process (ANP) and fuzzy logic in order to represent both aspects. We then propose a goal programming model to conduct an optimization for the project selection problems interpreted by a hybrid concept. Finally, a numerical example is conducted as verification purposes.

Keywords: Fuzzy Logic, Goal Programming, analytic network process (ANP), Multi-Criteria Decision-Making (MCDM), Information System Project Selection

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1072804

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[1] Kuanchin C., Narasimhaiah G., Information System Project Selection Using Fuzzy Logic, IEEE transaction on Systems, Man and Cybernetics , Vol.28, No.6, 1998, pp. 849-855.
[2] Chen T.C., A Decision Model for Information System Project Selection, Engineering Management Conference,IEMC '02, Vol.2, 2002, pp. 585- 589.
[3] Buss M.D.J., How to rank computer projects, Harvard Business Review, Vol. 61, No. 1, 1983, pp. 118-125.
[4] Lee J.W, Kim S.H, Using analytic network process and goal programming for interdependent information system project selection, Computers & Operations Research, Vol.27, No.4, 2000, pp. 367-382.
[5] Lucas HC, Moor Jr, A multiple-criterion scoring approach to information system project selection, INFOR, Vol.14, No.1, 1976, pp. 1- 12.
[6] Muralidhar K, Santhnanm R, Wilson RL, Using the analytic hierarchy process for information system project selection, Information and Management Vol.18, Nol.1, 1990, pp. 87-95.
[7] Marc JS, Wilson RL, Using the analytic hierarchy process and goal programming for information system project selection, Information and Management, Vol.20, 1991, pp. 333-342.
[8] Sanathanam R, Kyparisis GJ, A decision model for interdependent information system project selection, European Journal of Operational Research, Vol.89, 1996, pp. 380-399.
[9] Sanathanam R, Kyparisis GJ, A multiple criteria decision model for information system project selection, Computers and Operations Research Vol.22, No.8, 1995, pp. 807-818.
[10] Santhanam R, Muralidhar K, Schniederjans M, A zero-one goal programming approach for information system project selection, OMEGA, Vol.17, No.6, 1989, pp. 583-93.
[11] Saaty TL, The analytic hierarchy process. McGraw-Hill, New York, 1980.
[12] Saaty TL, The analytic network process, RWS Publications, Expert Choice, Inc. 1996.
[13] Agarwal R., Tanniru M. R., Dacruz M., Knowledge-based support for combining qualitative and quantitative judgment in resource allocation decisions, J. Manage. Inf. Syst., Vol.9, No.1, 1992, pp. 165-184.
[14] Whalen T., Decision making under uncertainty with various assumptions about available information, IEEE Trans. Syst., Man, Cybern., Vol.14, 1984, pp. 888-990.
[15] L. A. Zadeh, The concept of a linguistic variable and its application to approximate reasoning I and II, Inf. Sci., Vol.8, 1975, pp. 199-249.