DOI QR코드

DOI QR Code

IT 제안서의 기술평가에서의 퍼지 TOPSIS 응용

An Application of fuzzy TOPSIS in evaluating IT proposals

  • 투고 : 2017.02.20
  • 심사 : 2017.03.16
  • 발행 : 2017.03.30

초록

In recent years, it is natural that the development and the maintenance of information systems are strongly dependent on outside service providers for economic reasons, especially in public sector. There has been an unexpected growth in the number of selection activities for outsourcing related works. At this time, selection of the contractor generally considers the proposals received based on the RFP(requested for proposal) and determines the ranking by experts committee. However, it is difficult even for expert giving a specific numeric score in weighting criteria or rating alternatives. In this context, an extended fuzzy TOPSIS method is applied for selection problem of IT proposals. A numerical illustration is also provided to demonstrate the applicability of the approach. This approach is very practical to help decision makers in assessing proposals during the selection phase under uncertainties.

키워드

참고문헌

  1. 남기찬, "국내 공기업의 정보시스템 아웃소싱 의사결정요인에 관한 연구," 서강대학교 경영연구소 서강경영 논총, 제11권, 2호, 2000, pp. 23-40.
  2. 임경철.염세훈, "정보시스템 아웃소싱 서비스에 대한 만족도 연구 - 시스템 운영관리 서비스를 중심으로," 디지털산업정보학회 논문지, 제7권, 2호, 2011, pp,173-183.
  3. 김정규.김상일.류성열, "공공IT제안서 기술평가지표의 추출 및 검증 기법," 한국컴퓨터정보학회 동계학술대회 논문집, 제19권, 제1호, 2011.
  4. 김훈희.이원천.오연철.양인학, "IT제안서에 대한 평가위원의 불공정 예측 신경망 모델," Proceedings of KIIS Spring Conference, VOl.26, No.1, 2016.
  5. 송방원.김원식.강석중 , "우선순위를 이용한 점수 표준화 방법 연구," 한국정보통신학회 논문지, vol.19, No.10, 2015, pp.2500-2506.
  6. 김훈희.양인학.이원천.김병조.박영태, "공공정보화 제안요청서 품질분석 사례연구," 한국엔터테인먼트산업학회 추계학술대회논문집, 2012, pp.28-34.
  7. 김기윤.양동구, "퍼지 TOPSIS를 이용한 보험회사 업무정보시스템의 재난복구 우선순위결정," 리스크관리연구, 제26권, 제2호, 2015, pp. 1-34.
  8. 김기윤.나관식, "공급업체선정을 위한 퍼지 TOPSIS접근 방법," 한국기업경영학회, 제18권, 제2호, 2011, pp.143-159.
  9. 구교훈.정현재.왕영.여기태, "퍼지 TOPSIS 기법을 활용한 철도물류 신규 사업 선정," 물류학회지, 제23권, 3호, 2013, pp.159-178.
  10. 김기윤.김도형, "항만물류종합정보시스템의 재난복구 우선순위결정 : 퍼지 TOPSIS 접근방법," 한국IT서비스학회지, 제11권, 3호, 2012, pp.1-16. https://doi.org/10.9716/KITS.2012.11.3.001
  11. Chen. C. T. "Extensions of the TOPSIS for group decision-making under fuzzy environment," Fuzzy Sets and Systems, 114, 2000, pp.1-9. https://doi.org/10.1016/S0165-0114(97)00377-1
  12. Zadeh, L. A. "Fuzzy Sets," Information and Control, 8(3), 1965, pp.338-353. https://doi.org/10.1016/S0019-9958(65)90241-X
  13. Michael J Ginzberg, "Improving MIS project selection," Omega, Volume 7, Issue 6, 1979, pp.527-537. https://doi.org/10.1016/0305-0483(79)90071-9
  14. Kaiser, M. G., El Arbi, F., Ahlemann, F., "Successful project portfolio management beyond project selection techniques: understanding the role of structural alignment," Int. J. Proj. Manag., 33, 2015, pp.126-139. https://doi.org/10.1016/j.ijproman.2014.03.002
  15. Gray, C. F., Larson, E. W., Project Management: The Managerial Process, McGraw-Hill, 2003.
  16. PMI, A Guide to the Project Management Body of Knowledge (PMBoK(R) Guide), (5th ed.), Newton Square, PA: Project Management Institute, 2013.
  17. Lee, J. W., Kim, S. H., "An integrated approach for interdependent information system project selection," Int. J. Proj.Manag., 19, 2001, pp. 111-118. https://doi.org/10.1016/S0263-7863(99)00053-8
  18. Coldrick, S., Longhurst, P., Ivey, P., Hannis, J., "An R&D options selection model for investment decisions," Technovation, 25, 2005, pp.185-193. https://doi.org/10.1016/S0166-4972(03)00099-3
  19. Dutra, C. C., Ribeiro, J. L. D., de Carvalho, M. M., "An economic-probabilistic model for project selection and prioritization," Int. J. Proj. Manag, 32, 2014, pp.1042-1055. https://doi.org/10.1016/j.ijproman.2013.12.004
  20. Triantaphyllou E. Multi-criteria decision making methods a comparative study. USA: Springer, 2000.
  21. Ishizaka A,Nemery P. Multi-criteria decision analysis: methods and software. West Sussex,UK:John Wiley & Sons, 2013.
  22. 성경상.최인화.황준.박찬길, "AHP기법을 이용한 소프트웨어 품질 평가 방법론 재정립 방안에 관한 연구," 디지털산업정보학회 논문지, 제5권, 제4호, 2009, pp.263-272.
  23. C. W. Churchman, R. L. Ackoff, "An approximate measure of value," J. Operat. Res.Soc. Am., 2 (1), 2016, pp.1954.
  24. T. L. Saaty, The Analytic Hierarchy Process, McGraw-Hill, New York, 1980.
  25. Belton, V. and T.J. Stewart, Multiple Criteria Decision Analysis: An Integrated Approach, Boston:Kluwer Academic Publication, 2002.
  26. C. L. Hwang, K. Yoon, Multiple Attribute Decision Making Methods and Applications: A State-of-the-Art Survey, Springer-Verlag, New York, 1981.
  27. 미래창조과학부고시 제2014-29호, 소프트웨어기술성평가기준, 2014년 4월 10일.
  28. L. A. Zadeh, "The concept of a linguistic variable and its application to approximate reasoning," Inform. Sci., 8 (3), 1975, pp.199-249. https://doi.org/10.1016/0020-0255(75)90036-5
  29. C. Carlsson, "Tackling an MCDM-problem with the help of some results from fuzzy set theory," Eur. J. Oper. Res., 10 (3), 1982, pp.270-281. https://doi.org/10.1016/0377-2217(82)90226-0
  30. Kaufmann, A., & Gupta, M. M. Introduction to fuzzy arithmetic: Theory and application. New York: Van Nostrand Reinhold, 1991.
  31. E. Triantaphyllou, C. T. Lin, "Development and evaluation of five fuzzy multiattribute decision-making methods," Int. J. Approximate Reasoning, 14(4), 1996.
  32. Hsieh, H., Lu, S., & Tzeng, G. "Fuzzy MCDM approach for planning and design tenders selection in public office buildings," International Journal of Project Management, 22, 2004, pp.573-584. https://doi.org/10.1016/j.ijproman.2004.01.002