An Inexact Two-stage Fuzzy-stochastic Programming Model for Water Resources Management |
| |
Authors: | H W Lu G H Huang G M Zeng I Maqsood L He |
| |
Affiliation: | (1) EVSE, Faculty of Engineering, University of Regina, Regina, Canada, S4S 0A2;(2) College of Environment Science and Engineering, Hunan University, Changsha, China, 410082;(3) Environmental Protection, Saskatchewan Environment, Regina, Canada, S4S 5W6 |
| |
Abstract: | An inexact two-stage fuzzy-stochastic programming (ITFSP) method is developed for water resources management under uncertainty.
Fuzzy sets theory is introduced to represent various punishment policies under different water availability conditions. As
an extension of conventional two-stage stochastic programming (TSP) method, two special characteristics of the proposed approach
make it unique compared with existing approaches. One is it could handle flexible penalty rates, which are much reasonable
for both of the authorities and users, and have seldom been considered in the TSP framework. The other is uncertain information
expressed as discrete intervals and probability distribution functions can be effectively reflected in the optimization processes
and solutions. After formulating the model, a hypothetical case is employed for demonstrating its applicability under two
scenarios, where the inflow is divided into four and eight intervals, respectively. The results indicate that reasonable solutions
have been obtained. They provide desired allocation patterns with maximized system benefit under two feasibility levels. The
solutions present as stable intervals with different risk levels in violating the water demands, and can be used for generating
decision alternatives. Comparisons of the solution from the ITFSP with that from the ITSP (inexact two-stage stochastic programming)
and TSP approach are also undertaken. It shows that the ITFSP could produce more system benefit than existing methods and
deal with flexible penalty policies for better water management and utilization. |
| |
Keywords: | " target="_blank"> Decision-making Environment Interval Management Optimization Fuzzy Water resource Stochastic Two-stage Uncertainty |
本文献已被 SpringerLink 等数据库收录! |
|