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An Interval-parameter Fuzzy Robust Nonlinear Programming Model for Water Quality Management
MOE Key Laboratory of Regional Energy Systems Optimization, North China Electric Power University, Beijing, China
College of Environmental Science and Engineering, North China Electric Power University, Beijing, China
MOE Key Laboratory of Regional Energy Systems Optimization, North China Electric Power University, Beijing, China
Environmental Systems Engineering Program, Faculty of Engineering, University of Regina, Regina, Canada
College of Economic and Management, North China Electric Power University, Beijing, China
- 1 MOE Key Laboratory of Regional Energy Systems Optimization, North China Electric Power University, Beijing, China
- 2 College of Environmental Science and Engineering, North China Electric Power University, Beijing, China
- 3 MOE Key Laboratory of Regional Energy Systems Optimization, North China Electric Power University, Beijing, China
- 4 Environmental Systems Engineering Program, Faculty of Engineering, University of Regina, Regina, Canada
- 5 College of Economic and Management, North China Electric Power University, Beijing, China
Journal of Water Resource and Protection·Volume 05 (2013)·Pages 12–16·Published 23 January 2013·DOI10.4236/jwarp.2013.51002
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Abstract
Planning for water quality management is important for facilitating sustainable socio-economic development; however, the planning is also complicated by a variety of uncertainties and nonlinearities. In this study, an interval-parameter fuzzy robust nonlinear programming (IFRNP) model was developed for water quality management to deal with such difficulties. The developed model incorporated interval nonlinear programming (INP) and fuzzy robust programming (FRP) methods within a general optimization framework. The developed IFRNP model not only could explicitly deal with uncertainties represented as discrete interval numbers and fuzzy membership functions, but also was able to deal with nonlinearities in the objective function.
KeywordsWater Quality ManagementInterval ProgrammingFuzzy Robust ProgrammingNonlinear ProgrammingUncertainty
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