Applying a Hybrid MCDM Model for Information Technology Strategy Selection Problem

Ahmad Jafarnejad Chaghooshi; Maryam Sadat Fagheyi; Saiedeh Sadat Ahangari

Applying a Hybrid MCDM Model for Information Technology Strategy Selection Problem

Ahmad Jafarnejad Chaghooshi, Maryam Sadat Fagheyi, Saiedeh Sadat Ahangari

Abstract

Selecting the right technology is always a difficult task for decision-makers. Technologies have varied strengths and weaknesses which require careful assessment by the purchasers. The purpose of this paper is applying an integrated method to Information technology selection. Proposed approach is based on Fuzzy AHP and GTMA methods. Fuzzy AHP method is used in determining the weights of the criteria by decision makers and then rankings of Information Technology Strategies are determined by GTMA method. A numerical example demonstrates the application of the proposed method.

Full Text:

PDF

References

Asoosheh, A., Soroosh, N., & Jamporazmey, M. (2010). Information technology project evaluation: an integrated data envelopment analysis and balanced scorecard approach. Expert Systems with Application, 37(8), 5931–5938.

Ashtiani, B., Haghighirad, F., Makui, A., & Montazer, G. A. (2008). Extension of fuzzy TOPSIS method based on interval-valued fuzzy sets. Applied Soft Computing doi:10.1016/j.asoc.2008.05.005.

Avazpour, R, Ebrahimi, E, Fathi, M.R (2013) A 360 Degree Feedback Model for Performance Appraisal Based on Fuzzy AHP and TOPSIS, International Journal of Economy, Management and Social Sciences, 2 (11), 969-976.

Buyukozkan, G., Feyziog˘lu, O., & Nebol, E. (2007). Selection of the strategic alliance partner in logistics value chain. International Journal of Production Economics 113(1), 148–158.

Buckley, J. J. (1985). Fuzzy hierarchical analysis. Fuzzy Sets and Systems, 17, 233–247.

Chaghooshi, A.H., Fathi, M.R. Kashef, M (2012) Integration of fuzzy Shannon’s entropy with fuzzy TOPSIS for industrial robotic system section, Journal of Industrial Engineering and Management, 5 (1), 102-114.

Chang, D. Y. (1996). Applications of the extent analysis method on fuzzy AHP. European Journal of Operational Research, 95, 649–655.

Ebrahimi, E., Avazpour, R., & Fathi, M. (2014). Applying Logarithmic Fuzzy Preference Programming and VIKOR for Ranking the Solutions of Knowledge Management Based on Critical Success Factors. World Applied Programming, 4(7), 161-171.

Hannu, K., Hallikainen, P., & Penttinen, E. (2012). Supporting IT implementation decisions with ANP – supplier scheduling for e-invoicing. Int. J Inform. Technol. Decis. Making, 11(3), 525–550.

Karsak, E. E. (2002). Distance-based fuzzy MCDM approach for evaluating flexible manufacturing system alternatives. International Journal of Production Research 40(13), 3167–3181.

Kaufmann, A., and Gupta, M. M. (1988). Fuzzy mathematical models in engineering and management science. Amsterdam: North-Holland.

Kahraman, C., Cebeci, U., & Ulukan, Z. (2003). Multi-criteria supplier selection using fuzzy AHP. Logistics Information Management, 16(6), 382–394.

Lee, D.-J., & Ahn, J. (2007). Factors affecting companies’telecommunication service selection strategy. Omega, 35, 486 – 493.

Lee, H., Lee, S., & Park, Y. (2009). Selection of technology acquisition mode using the analytic network process. Mathematical and Computer Modelling, 49, 1274-1282.

Liang, C., & Li, Q. (2008). Enterprise information system project selection with regard to BOCR. Int. J. Project Managment, 26(8), 810–820.

Mao, C., Mei, Q., & Ma, Z. (2009). A new method for information system selection. Second International Conference on Future Information Technology and Management Engineering, IEEE.

Monavvarian, A., Fathi, M.R. Zarchi, M.K, Faghih, A (2011) Combining ANP with TOPSIS in selecting knowledge management strategies (case study: pars tire company), European journal of scientific research, 54 (4), 538-46.

Momeni, M, Fathi, M.R. Zarchi, M.K, Azizollahi, S (2011) A Fuzzy TOPSIS-based approach to maintenance strategy selection: A case study, Middle-East Journal of Scientific Research, 8 (3), 699-706.

Nazari-Shirkouhi, S., Ansarinejad, A., Miri-Nargesi, S., Dalfard, V., & Rezaie, K. (2011). Information systems outsourcing decisions under fuzzy group decision making approach. Int. J. Inform. Technol. Decis. Making, 10(6), 989–1022.

Oztaysi, B. (2014). A decision model for information technology selection using AHP integrated TOPSIS-Grey: The case of content management systems. Knowledge-Based Systems, Article in press.

Saaty, T.L. (2000). Fundamentals of Decision Making with the Analytic Hierarchy Process, RWS Publications, Pittsburgh.

Saaty, T. L. (1980). The analytic hierarchy process. New York: McGraw- Hill.

Seyed Javadein, S., Ebrahimi, E., & Fathi, M. (2014). Ranking Employees based on their Career Orientation: Considering Protean and Boundaryless Career Attitudes. Global Journal of Management Studies and Researches, 1(3), 136-142.

Tolga, A. (2012). A real options approach for software development projects using fuzzy ELECTRE. J. Multiple-Valued Logic Soft Comput, 18(5-6), 541-560.

Tsai, W.-H., Leu, J.-D., Liu, J.-Y., Lin, S.-J., & Shaw, M. (2010). A MCDM approach for sourcing strategy mix decision in IT projects. Expert Systems with Applications, 37, 3870–3886.

Van Laarhoven, P. J. M., & Pedrcyz, W. (1983). A fuzzy extension of Saaty’s priority theory. Fuzzy Sets and Systems, 11, 229–241.

Wang, Y.-J., & Lee, H.-S. (2007). Generalizing TOPSIS for fuzzy multiple-criteria group decision-making. Computers & Mathematics with Applications, 53(11), 1762–1772.

Zadeh, L. A. (1975). The concept of a linguistic variable and its application to approximate reasoning-I. Information Sciences, 8(3), 199–249.

Zadeh, L. A. (1965). Fuzzy sets. Information and Control, 8(3), 338–353.

Zarei, M.H, Fathi, M.R. Zarchi, M.K, Azizollahi, S (2011) The application of fuzzy TOPSIS approach to personnel selection for Padir Company, Iran, Journal of management Research, 3 (2).

Refbacks

There are currently no refbacks.

This work is licensed under a Creative Commons Attribution 3.0 License.

To make sure that you can receive messages from us, please add the 'academicjournalscenter.org' domain to your e-mail 'safe list'. If you do not receive e-mail in your 'inbox', check your 'bulk mail' or 'junk mail' folders.