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http://dx.doi.org/10.3741/JKWRA.2012.45.4.383

Application of Multi-criteria Decision Making Techniques for Water Resources Planning: 2. Sensitivity Analysis of Weighting and Performance Values  

Chung, Eun-Sung (Department of Civil Engineering, Seoul National University of Science and Technology)
Publication Information
Journal of Korea Water Resources Association / v.45, no.4, 2012 , pp. 383-391 More about this Journal
Abstract
This study aims to present the sensitivity analysis approach for multi-criteria decision making (MCDM) method to reduce the uncertainty of weighting and performance values. This study focuses on two major problems of the uncertainty for MCDM method. The first major problem is how to determine the most critical criterion and the second is how to determine the most critical measure of performance. This study used the application of weighted sum method for water resources planning. The criticality degrees and the sensitivity coefficients of criterion and alternative are used. This results of sensitivity analysis can be applied to the general water resources planning in real.
Keywords
alternative criticality; criterion criticality; multi-criteria decision making (MCDM); alternative sensitivity; criterion sensitivity;
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1 정은성 (2012). "수자원 계획수립을 위한 다기준 의사결정 기법의 민감도 분석." 한국수자원학회논문집, 한국수자원학회(심사중)
2 정은성, 이길성, 박경신 (2008a). "다기준 의사결정기법을 이용한대안평가지수개발." 한국수자원학회논문집, 한국수자원학회, 제41권, 제1호, pp. 87-100.
3 정은성, 공기서, 이길성, 유진채 (2008b). "실험선택법과 대안평가지수를 이용한 대안의 편익산정." 한국수자원학회논문집, 한국수자원학회, 제41권, 제1호, pp. 101-113.
4 Ascough II, J.C., Maier, H.R., Ravalico, J.K., and Strudley, M.W. (2008). "Future research challenges for incorporation of uncertainty in environmental and ecological decision-making." Ecological Modelling, Vol. 219, pp. 383-399.   DOI
5 European Environment Agency (1999). Environmental Indicators: Typology and Overview. Copenhagen, Denmark.
6 Fredrick, S., and Petermann, R. (1995). "Choosing fisheries harvest policies: When does uncertainty matter?" Canadian Journal of Fisheries and Aquatic Sciences, Vol. 52, No. 2, pp. 291-306.   DOI   ScienceOn
7 Mogan, M.G., and Henrion, M. (1990). Uncertainty: A Guide ro Dealing with Uncertainty in Quantitative Risk and Policy Analysis. Cambridge University Press, Cambridge.
8 Regan, H.M., Colyvan, M., and Burgman, M.A. (2002). "A taxonomy and treatment of uncertainty for ecology and conservation biology." Ecological Applications, Vol. 12, No. 2, pp. 618-628.   DOI   ScienceOn
9 Rose, K.A., and Cowan, J.H. (2003). "Data, models, and decisions in US marine fisheries management: Lessons for ecologists." Reviews for Ecology, Evolution and Systematics, Vol. 34, pp. 127-151.   DOI   ScienceOn
10 Triantaphyllou, E., and Sanchez, A. (1997). "A sensitivity analysis approach for some deterministic multi-criteria decision making methods." Decision Sciences, Vol. 28, No. 1, pp. 151-194.   DOI   ScienceOn
11 Walker, W.E., Harremoes, P., Rotmans, J., van der Sluijs, J.P., van Asselt, M.B.A., Janssen, P., and Krayer con Krauss, M.P. (2003). "Defining uncertainty a conceptual basis for uncertainty management in modelbased decision support." Integrated Assessment, Vol. 4, No. 1, pp. 5-17.   DOI   ScienceOn