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http://dx.doi.org/10.3741/JKWRA.2013.46.9.897

Development and Application of Robust Decision Making Technique Considering Uncertainty of Climatic Change Scenarios  

Jun, Sang-Mook (Dept. of Civil Eng., Seoul National University of Science and Technology)
Chung, Eun-Sung (Dept. of Civil Eng., Seoul National University of Science and Technology)
Lee, Sang-Ho (Dept, of Civil Eng., Pukyung National University)
Kim, Yeonjoo (Korea Environmental Institute)
Publication Information
Journal of Korea Water Resources Association / v.46, no.9, 2013 , pp. 897-907 More about this Journal
Abstract
Climate change is expected to worsen the depletion of streamflow in urban watershed. In this study, we therefore considered the treated wastewater (TWW) use as an adaptation strategy and devised a framework to identify prioritized areas for TWW use. An integrated framework that includes hydrological factors as well as social and environmental components were employed to determine the criteria for decision making. Fuzzy theory was employed to consider the uncertainties in the climate change scenarios and the weights of the performance value. All alternatives were evaluated using the fuzzy TOPSIS method. In addition, statistical method and decision making methods under complete uncertainty were used for robust decision making. As a result, ranking the alternatives using the fuzzy TOPSIS method and robust approach such as maximin, maximax, Hurwicz and equal likelihood criterion mitigated the level of uncertainty and ambiguity in each alternative. The finding of this study can be helpful in prioritizing water resource management projects considering various climate change scenarios.
Keywords
Wastewater reuse; Fuzzy TOPSIS; Robust decision making; Fuzzy theory;
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Times Cited By KSCI : 2  (Citation Analysis)
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