Journal of Information Technology Services (한국IT서비스학회지)

Korea Society of IT Services (한국IT서비스학회)
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Disaster Recovery Priority Decision of Total Information System for Port Logistics : Fuzzy TOPSIS Approach

항만물류종합정보시스템의 재난복구 우선순위결정 : 퍼지 TOPSIS 접근방법

  • Received : 2012.03.07
  • Accepted : 2012.07.17
  • Published : 2012.09.30
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Abstract

This paper is aimed to present a fuzzy decision-making approach to deal with disaster recovery priority decision problem in information system. We derive an evaluation approach based on TOPSIS(Technique for Order Performance by Similarity to Ideal Solution), to help disaster recovery priority decision of total information system for port logistics in a fuzzy environment where the vagueness and subjectivity are handled with linguistic terms parameterized by trapezoidal fuzzy numbers. This study applies the fuzzy multi-criteria decision-making method to determine the importance weight of evaluation criteria and to synthesize the ratings of candidate disaster recovery system. Aggregated the evaluators' attitude toward preference, then TOPSIS is employed to obtain a crisp overall performance value for each alternative to make a final decision. This approach is demonstrated with a real case study involving 4 evaluation criteria(system dependence, RTO, loss, alternative business support), 7 information systems for port logistics assessed by 5 evaluators from Maritime Affairs and Port Office.

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References

  1. 국무조정실과 정보통신부, 정보시스템 장애관리 지침, 2005.
  2. 국무조정실과 정보통신부, 정보시스템 재해복구 지침, 2005.
  3. Amin, S. H. and J. Razmi, "An Integrated Fuzzy Model for Supplier Management : A Case Study of ISP Selection and Evaluation", Expert Systems with Applications, Vol.36 (2009), pp.8639-8648. https://doi.org/10.1016/j.eswa.2008.10.012
  4. Belton, V. and T. J. Stewart, Multiple Criteria Decision Analysis : An Integrated Approach, Kluwer Academic Publications, Boston, 2002.
  5. BSI, Business Cintinuity Management, Part 1 : Code of Practice, BS 25999-1, 2006.
  6. Chen, C. T., "Extension of the TOPSIS for Group Decision-making under Fuzzy Environment", Fuzzy Sets and Systems, Vol.114 (2000), pp.1-9. https://doi.org/10.1016/S0165-0114(97)00377-1
  7. Chen, C.-T., C.-T. Lin, and S.-F. Huang, "A Fuzzy Approach for Supplier Evaluation and Selection in Supply Chain Management", International Journal of Production Economics, Vol.102(2006), pp.289-301. https://doi.org/10.1016/j.ijpe.2005.03.009
  8. Chen, C.-T. and H.-L. Cheng, "A Comprehensive Model for Selecting Information System Project under Fuzzy Environment", International Journal of Project Management, Vol.27(2009), pp.389-399. https://doi.org/10.1016/j.ijproman.2008.04.001
  9. Chen, T.-Y. and C.-Y. Tsao, "The Intervalvalued Fuzzy TOPSIS Method and Experimental Analysis", Fuzzy Sets and Systems, Vol.159(2008), pp.1410-1428. https://doi.org/10.1016/j.fss.2007.11.004
  10. Dubois, D. and H. Prade, Fuzzy Sets and Systems : Theory and Applications, Academic Press Inc., New York, 1980.
  11. Gumus, A. T., "Evaluation of Hazardous Waste Transportation Firms by Using a Two Step Fuzzy-AHP and TOPSIS Methodology", Expert Systems with Applications, Vol.36(2009), pp.4067-4074. https://doi.org/10.1016/j.eswa.2008.03.013
  12. Ha, S. H. and R. Krishnan, "A Hybrid Approach to Supplier Selection for the Maintenance", Expert Systems with Applications, Vol.34(2008), pp.1303-1311. https://doi.org/10.1016/j.eswa.2006.12.008
  13. Herrera, F. and E. Herrera-Viedma, "Linguistic Decision Analysis : Steps for Solving Decision Problems under Linguistic Information", Fuzzy Sets and Systems, Vol.115 (2000), pp.67-82. https://doi.org/10.1016/S0165-0114(99)00024-X
  14. Hwang, C.-L. and K. Yoon, Multiple Attribute Decision Making : Method and Applications, Springer-Verlag, Berlin Heidelberg, 1981.
  15. Jahanshahloo, G. R., F. H. Lotfi and A. R. Davoodi, "Extension of TOPSIS for Decision-making Problems with Interval Data", Applied Mathematics and Computation, Vol.181(2008), pp.1544-1551.
  16. Jahanshahloo, G. R., F. H. Lotfi and M. Izadikhah, "An Algorithmic Method to Extend TOPSIS for Decision-making Problems with Interval Data", Applied Mathematics and Computation, Vol.175(2006), pp.1375-1384. https://doi.org/10.1016/j.amc.2005.08.048
  17. Kahraman, C. and I. Kaya, "A Fuzzy Multicriteria Methodology for Selection among Energy Alternatives", Expert Systems with Applications, Vol.37(2010), pp.6270-6281. https://doi.org/10.1016/j.eswa.2010.02.095
  18. Kahraman, C., O. Engin, Ö. Kabak, and I. Kaya, "Information Systems Outsourcing Decisions Using a Group Decision-making Approach", Engineering Applications of Artificial Intelligence, Vol.22, No.6(2009), pp. 832-841. https://doi.org/10.1016/j.engappai.2008.10.009
  19. Kaufmann, A. and M. M. Gupta, Introduction to Fuzzy Arithmetic : Theory and Applications, Van Nostrand Reinhold, New York, 1991.
  20. Kaya, T. and Cengiz Kahraman, "Multicriteria Decision Making in Energy Planning Using a Modified Fuzzy TOPSIS Methodology", Expert Systems with Applications, Vol.38(2011), pp.6577-6585. https://doi.org/10.1016/j.eswa.2010.11.081
  21. Keeney, R. L. and H. Raiffa, Decision with Multiple Objectives : Preference and Value Trade Offs, John Wiley and Sons, 1976.
  22. Kutlu, A. C. and M. Ekmekcioglu, "Fuzzy Failure Modes and Effects Analysis by Using Fuzzy TOPSIS-Based Fuzzy AHP", Expert Systems with Applications, Vol.39(2012), pp.61-67. https://doi.org/10.1016/j.eswa.2011.06.044
  23. Rouhani, S., M. Ghazanfari, and M. Jafari, "Evaluation Model of Business Intelligence for Enterprise Systems Using Fuzzy TOP SIS", Expert Systems with Applications, Vol.39(2012), pp.3764-3771. https://doi.org/10.1016/j.eswa.2011.09.074
  24. Shih, H.-S., H.-J. Shyur, and E. S. Lee, "An Extension of TOPSIS for Group Decision Making", Mathematical and Computer Modelling, Vol.45(2007), pp.801-813. https://doi.org/10.1016/j.mcm.2006.03.023
  25. Sing, R. K. and L. Benyoucef, "A Fuzzy TOPSIS Based Approach for E-sourcing", Engineering Applications of Artificial Intelligence, Vol.24(2011), pp.437-448. https://doi.org/10.1016/j.engappai.2010.09.006
  26. Shyur, H.-J. and H.-S. Shih, "A Hybrid MCDM Model for Strategic Vendor Selection", Mathematical and Computer Modelling, Vol.44(2006), pp.749-761. https://doi.org/10.1016/j.mcm.2005.04.018
  27. Walle, B. V. and A.-F. Rutkowski, "A Fuzzy Decision Support System for IT Service Continuity Threat Assessment", Decision Support Systems, Vol.42(2006), pp.1931- 1943. https://doi.org/10.1016/j.dss.2006.05.002
  28. Wang, W.-P., "Evaluating New Product Development by Fuzzy Linguistic Computing", Expert Systems with Applications, Vol.36 (2009), pp.9759-9766. https://doi.org/10.1016/j.eswa.2009.02.034
  29. Zadeh, L. A., "Fuzzy Sets", Information Control, Vol.8(1965), pp.338-353. https://doi.org/10.1016/S0019-9958(65)90241-X

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