A FAHP-BASED TECHNOLOGY SELECTION AND SPECIFICATION METHODOLOGY

Kin Chung Liu, Dennis F. Kehoe, Dong Li

2008

Abstract

Selection of technology in IT projects is recognized as a multi-criteria decision-making (MDCM) problem because it is important to incorporate multiple opinions from people and consider the interdependence among criteria (Lee and Kim, 2000). Various techniques were proposed to address the technology selection problems and some of them, such as analytic hierarchy process (AHP) (e.g. Bard, 1986), were proved effective in literatures. However, technology selection problem in a system development project can be viewed as a system design activity and there is lack of literatures view technology selection from system design perspective and integrate it with other system design activity. The research argues that AHP can be applied to generate technology specification and other useful information for system design purpose, in additions of technology selection. A high-level system design framework and the FAHP-based technology selection and specification (TSS) methodology are presented in this paper.

References

  1. Bard, J. F., 1986. Evaluating space station applications of automation and robotics. IEEE Transactions on Engineering Management 33, 102-111.
  2. Chang, D.Y., 1992. Extent Analysis and Synthetic Decision. Optimization Techniques and Applications, Vol. 1. World Scientific, Singapore, p. 352.
  3. Chang, D.Y., 1996. Applications of the extent analysis method on FAHP. European Journal of Operational Research 95(3):649-655.
  4. Chou, Y., Lee, C., and Chung, J., 2004. Understanding mcommerce payment systems through the analytic hierarchy process. Journal of Business Research, 57, 12, 1423-1430.
  5. DurĂ¡n, O., Aguilo, J., 2007. Computer-aided machine-tool selection based on a Fuzzy-AHP approach. Expert Systems with Applications.
  6. Ho, William, 2007. Integrated analytic hierarchy process and its applications - A literature review. European Journal of Operational Research.
  7. Karsak, E.E., Kuzgunkaya, O., 2002. A fuzzy multiple objective programming approach for the selection of a flexible manufacturing system. Int. J. Production Economics 79 101-111.
  8. Lai, V.S., Trueblood, R.P., Wong, B.K., 1999. Software selection: A case study of the application of the analytical hierarchical process to the selection of a multimedia authoring system. Information & Management 36, 221-232.
  9. Lee, A.H.I., Kang, H.Y. and Wang, W.P., 2006. Analysis of priority mix planning for semiconductor fabrication under uncertainty. International Journal of Advanced Manufacturing Technology, 28(3-4), 351-361.
  10. Lee, J.W. and Kim, S.H., 2000. Using analytic network process and goal programming for interdependent information system project selection. Computers & Operations Research 27, 367-382.
  11. Lee, W. B., Lau, H., Liu, Z., and Tam, S., 2001. A fuzzy analytic hierarchy process approach in modular product design. Expert Systems, February, 18(1), 32- 42.
  12. Levary, R.R., Wan, K., 1998. A simulation approach for handling uncertainty in the analytic hierarchy process. European Journal of Operations Research 106, 116- 122.
  13. Liu, Y.-W., Kwon, Y.-J., Kang, B.-D., 2007. A Fuzzy AHP approach to evaluating e-commerce websites. Fifth International Conference on Software Engineering Research, Management and Applications. 114-122.
  14. Mon, D.K., Cheng, C.H, Lin, J.C., 1994. Evaluating weapon system using fuzzy analytic hierarchy process based on entropy weight. Fuzzy Sets and Systems 62 127-134.
  15. Nelson, P. F. and Kastenberg, W. E., 1986. An extended value-impact approach for nuclear regulatory decisionmaking. Nuclear Engineering and Design 93, 311- 317.
  16. Ribeiro, R.A., 1996. Fuzzy multiple attribute decision making: A review and new preference elicitation techniques. Fuzzy Sets and Systems 78, 155-81.
  17. Roper-Lowe, G.C. and Sharp, J.A., 1990. The Analytic Hierarchy Process and its Application to an Information Technology Decision. Journal of Operational Research Society 41(1):49-59.
  18. Sadiqa, R. and Husain, T., 2005. A fuzzy-based methodology for an aggregative environmental risk assessment: a case study of drilling waste. Environmental Modelling & Software 20 33-46.
  19. Saaty, T.L., 1980. The Analytic Hierarchy Process. McGraw-Hill, New York, NY, U.S.A.
  20. Saaty, T. L. and Kearns, K. P., 1985. Analytical Planning. Pergamon, New York.
  21. Sommerville, Ian, 2001. Software Engineering, Sixth Edition. Addison-Wesley. ISBN 0-201-39815.
  22. Van Laarhoven, P. J. M. and W. Pedrycz, 1983. A Fuzzy extension of Saaty's Priority Theory: Fuzzy Sets and Systems, Volume: 11, pp. 229-241.
  23. Zeng, J.H., An, M., and Smith, N. J., 2007. Application of a fuzzy based decision making methodology to construction project risk assessment. International Journal of Project Management.
Download


Paper Citation


in Harvard Style

Chung Liu K., F. Kehoe D. and Li D. (2008). A FAHP-BASED TECHNOLOGY SELECTION AND SPECIFICATION METHODOLOGY . In Proceedings of the Tenth International Conference on Enterprise Information Systems - Volume 3: ICEIS, ISBN 978-989-8111-38-8, pages 161-168. DOI: 10.5220/0001721001610168


in Bibtex Style

@conference{iceis08,
author={Kin Chung Liu and Dennis F. Kehoe and Dong Li},
title={A FAHP-BASED TECHNOLOGY SELECTION AND SPECIFICATION METHODOLOGY},
booktitle={Proceedings of the Tenth International Conference on Enterprise Information Systems - Volume 3: ICEIS,},
year={2008},
pages={161-168},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001721001610168},
isbn={978-989-8111-38-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Tenth International Conference on Enterprise Information Systems - Volume 3: ICEIS,
TI - A FAHP-BASED TECHNOLOGY SELECTION AND SPECIFICATION METHODOLOGY
SN - 978-989-8111-38-8
AU - Chung Liu K.
AU - F. Kehoe D.
AU - Li D.
PY - 2008
SP - 161
EP - 168
DO - 10.5220/0001721001610168