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Multicriteria Group Decision Support for Information Systems Project Selection

  • Conference paper
Next-Generation Applied Intelligence (IEA/AIE 2009)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5579))

Abstract

This paper presents a fuzzy multicriteria group decision making approach for evaluating and selecting information systems projects. The inherent subjectiveness and imprecision of the evaluation process is modeled by using linguistic terms characterized by triangular fuzzy numbers. A new algorithm based on the concept of the degree of dominance is developed to avoid the complex and unreliable process of comparing fuzzy numbers usually required in fuzzy multicriteria decision making. A multicriteria decision support system is proposed to facilitate the evaluation and selection process. An information systems project selection problem is presented to demonstrate the effectiveness of the approach.

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References

  1. Deng, H., Wibowo, S.: A Fuzzy Multicriteria Analysis Approach Using Pairwise Comparison to Selecting Information Systems Projects under Uncertainty. In: 19th International Conference on Multiple Criteria Decision Making, Auckland, N.Z. (2008)

    Google Scholar 

  2. Stewart, R.A.: A Framework for the Life Cycle Management of Information Technology Projects: ProjectIT. Int. J. Proj. Manage. 26, 203–212 (2008)

    Article  Google Scholar 

  3. Shih, H.S., Huang, L.C., Shyur, H.J.: Recruitment and Selection Processes through an Effective GDSS. Comput. Maths. Appl. 50, 1543–1558 (2005)

    Article  MATH  Google Scholar 

  4. Ghasemzadeh, F., Archer, N.P.: Project Portfolio Selection through Decision Support. Decis. Support Syst. 29, 73–88 (2000)

    Article  Google Scholar 

  5. Lee, J.W., Kim, S.H.: An Integrated Approach for Interdependent Information System Project Selection. Int. J. Proj. Manage. 19, 111–118 (2001)

    Article  Google Scholar 

  6. Archer, N.P., Hasemzadeh, F.: Project Portfolio Selection through Decision Support. Decis. Support Syst. 29, 73–88 (2000)

    Article  Google Scholar 

  7. Bastos, R.M., de Oliveira, F.M., de Oliveira, J.P.M.: Autonomic Computing Approach for Resource Allocation. Exp. Syst. Appl. 28, 9–19 (2005)

    Article  Google Scholar 

  8. Ozbayrak, M., Bell, R.: A Knowledge-Based Support System for the Measurement of Parts and Tools in FSM. Decis. Support Syst. 35, 487–515 (2003)

    Article  Google Scholar 

  9. Wen, W., Wang, W.K., Wang, T.H.: A Hybrid Knowledge-Based Decision Support System for Enterprise Mergers and Acquisitions. Exp. Syst. Appl. 28, 569–582 (2005)

    Article  Google Scholar 

  10. Yeh, C.-H., Deng, H., Chang, Y.-H.: Fuzzy Multicriteria Analysis for Performance Evaluation of Bus Companies. Eur. J. Oper. Res. 126, 459–473 (2000)

    Article  MATH  Google Scholar 

  11. Deng, H.: Multicriteria Analysis with Fuzzy Pairwise Comparison. Int. J. Approx. Reasoning 21, 215–231 (1999)

    Article  Google Scholar 

  12. Pedrycz, W.: Why Triangular Membership Functions? Fuzzy Sets Syst. 64, 21–30 (1994)

    Article  MathSciNet  Google Scholar 

  13. Hwang, C.L., Yoon, K.S.: Multiple Attribute Decision making: Methods and Applications. Springer, Berlin (1981)

    Book  MATH  Google Scholar 

  14. Keeney, R., Raiffa, H.: Decisions with Multiple Objectives, Preferences and Value Tradeoffs. Cambridge University Press, New York (1993)

    Book  MATH  Google Scholar 

  15. Matsatsinis, N.F., Samaras, A.P.: MCDA and Preference Disaggregation in Group Decision Support Systems. Eur. J. Oper. Res. 130, 414–429 (2001)

    Article  MATH  Google Scholar 

  16. Yeh, C.-H., Deng, H.: A Practical Approach to Fuzzy Utilities Comparison in Fuzzy Multicriteria Analysis. Int. J. Approx. Reasoning 35(2), 179–194 (2004)

    Article  MathSciNet  MATH  Google Scholar 

  17. Chen, S.H.: Ranking Fuzzy Numbers with Maximizing Set and Minimizing Set. Fuzzy Sets Syst. 17, 113–129 (1985)

    Article  MathSciNet  MATH  Google Scholar 

  18. Zeleny, M.: Multiple Criteria Decision Making. McGraw-Hill, New York (1982)

    MATH  Google Scholar 

  19. Deng, H., Yeh, C.-H., Willis, R.J.: Inter-Company Comparison Using Modified TOPSIS with Objective Weights. Comput. Oper. Res. 27, 963–973 (2000)

    Article  MATH  Google Scholar 

  20. Wang, Y.J., Lee, H.S.: Generalizing TOPSIS for Fuzzy Multiple-Criteria Group Decision-Making. Comput. Maths. Appl. 53, 1762–1772 (2007)

    Article  MathSciNet  MATH  Google Scholar 

  21. Yeh, C.-H., Chang, Y.-H.: Modeling Subjective Evaluation for Fuzzy Group Multicriteria Decision Making. Eur. J. Oper. Res. 194, 464–473 (2009)

    Article  MATH  Google Scholar 

  22. Chang, Y.-H., Yeh, C.-H.: A New Airline Safety Index. Transport. Res. B-Meth. 38, 369–383 (2004)

    Article  Google Scholar 

  23. Deng, H., Wibowo, S.: A Rule-Based Decision Support System for Evaluating and Selecting IS Projects. In: IAENG International Conference on Operations Research (ICOR 2008), Hong Kong (2008)

    Google Scholar 

  24. Deng, H.: A Fuzzy Approach to Selecting Information Systems Projects. Int. J. of Comput. Inform. Sci. 6, 13–21 (2005)

    Google Scholar 

  25. Lin, C.T., Hsu, P.F., Sheen, G.J.: A Fuzzy-Based Decision-Making Procedure for Data Warehouse System Selection. Exp. Syst. Appl. 32, 939–953 (2007)

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. Clayton School of Information Technology, Faculty of Information Technology, Monash University, Clayton, Victoria, 3800, Australia

    Chung-Hsing Yeh & Yan Xu

  2. School of Business Information Technology, RMIT University, GPO Box 2476V, Melbourne, Victoria, 3001, Australia

    Hepu Deng & Santoso Wibowo

Authors
  1. Chung-Hsing Yeh
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  2. Hepu Deng
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  3. Santoso Wibowo
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  4. Yan Xu
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Editor information

Editors and Affiliations

  1. Department of Computer Science and Information Engineering, National University of Tainan, 700, Tainan, Taiwan

    Been-Chian Chien

  2. Department of Computer Science and Information Engineering, National University of Kaohsiung, Kaohsiung, Taiwan

    Tzung-Pei Hong

  3. Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan

    Shyi-Ming Chen

  4. Department of Computer Science, Texas State University-San Marcos, 601 University Drive, 78666-4616, San Marcos, TX, USA

    Moonis Ali

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© 2009 Springer-Verlag Berlin Heidelberg

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Yeh, CH., Deng, H., Wibowo, S., Xu, Y. (2009). Multicriteria Group Decision Support for Information Systems Project Selection. In: Chien, BC., Hong, TP., Chen, SM., Ali, M. (eds) Next-Generation Applied Intelligence. IEA/AIE 2009. Lecture Notes in Computer Science(), vol 5579. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02568-6_16

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  • DOI: https://doi.org/10.1007/978-3-642-02568-6_16

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-02567-9

  • Online ISBN: 978-3-642-02568-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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