Development of a Project Selection Method on Information System Using ANP and Fuzzy Logic
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.
[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.
[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.
@article{"International Journal of Information, Control and Computer Sciences:58526", author = "Ingu Kim and Shangmun Shin and Yongsun Choi and Nguyen Manh Thang and Edwin R. Ramos and Won-Joo Hwang", title = "Development of a Project Selection Method on Information System Using ANP and Fuzzy Logic", 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 = "Analytic Network Process (ANP), Multi-Criteria
Decision-Making (MCDM), Fuzzy Logic, Information System
Project Selection, Goal Programming.", volume = "3", number = "5", pages = "1376-6", }