A multistage fuzzy-stochastic programming model for supporting sustainable water-resources allocation and management

Authors:
Y. P. Li;G. H. Huang;Y. F. Huang;H. D. Zhou
Affiliations:
College of Urban and Environmental Sciences, Peking University, Beijing 100871, China;Environmental Systems Engineering Program, Faculty of Engineering, University of Regina, Regina, Sask S4S 0A2, Canada and Chinese Research Academy of Environmental Science, North China Electric Po ...;State Key Laboratory of Hydro-science and Engineering, Tsinghua University, Beijing 100084, China;Department of Water Environment, China Institute of Water Resources and Hydropower Research, Beijing 100038, China
Venue:
Environmental Modelling & Software
Year:
2009

Citing 5
Cited 6

Vertex method for computing functions of fuzzy variables

Fuzzy Sets and Systems
Fuzzy set theory—and its applications (3rd ed.)

Fuzzy set theory—and its applications (3rd ed.)
Portfolio selection under independent possibilistic information

Fuzzy Sets and Systems - Special issue on soft decision analysis
Uncertainty in the environmental modelling process - A framework and guidance

Environmental Modelling & Software
A DSS for water resources management under uncertainty by scenario analysis

Environmental Modelling & Software

Fuzzy theory based multi-objectives evaluation models and their applications on water resources allocation

FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 4
Multicriteria decision making under uncertainty: An advanced ordered weighted averaging operator for planning electric power systems

Engineering Applications of Artificial Intelligence
A group agreement-based approach for decision making in environmental issues

Environmental Modelling & Software
Limited multi-stage stochastic programming for managing water supply systems

Environmental Modelling & Software
Development of an optimization model for water resources systemsplanning

Engineering Applications of Artificial Intelligence
Dynamic risks modelling in ERP maintenance projects with FCM

Information Sciences: an International Journal

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this study, a multistage fuzzy-stochastic programming (MFSP) model is developed for tackling uncertainties presented as fuzzy sets and probability distributions. A vertex analysis approach is proposed for solving multiple fuzzy sets in the MFSP model. Solutions under a set of @a-cut levels can be generated by solving a series of deterministic submodels. The developed method is applied to the planning of a case study for water-resources management. Dynamics and uncertainties of water availability (and thus water allocation and shortage) could be taken into account through generation of a set of representative scenarios within a multistage context. Moreover, penalties are exercised with recourse against any infeasibility, which permits in-depth analyses of various policy scenarios that are associated with different levels of economic consequences when the promised water-allocation targets are violated. The modeling results can help to generate a range of alternatives under various system conditions, and thus help decision makers to identify desired water-resources management policies under uncertainty.