An inexact fuzzy-chance-constrained two-stage mixed-integer linear   programming approach for flood diversion planning under multiple   uncertainties

doi:10.1016/j.advwatres.2009.10.009

CORC > 北京大学 > 城市与环境学院

	An inexact fuzzy-chance-constrained two-stage mixed-integer linear programming approach for flood diversion planning under multiple uncertainties
	Guo, P. ; Huang, G. H. ; Li, Y. P.
刊名	水资源进展
	2010
关键词	Decision making Flood diversion Fuzzy set Probability distribution Uncertainty WATER-RESOURCES MANAGEMENT WASTE MANAGEMENT MODEL RISK
DOI	10.1016/j.advwatres.2009.10.009
英文摘要	In this study, an inexact fuzzy-chance-constrained two-stage mixed-integer linear programming (IFCTIP) approach is developed for flood diversion planning under multiple uncertainties. A concept of the distribution with fuzzy boundary interval probability is defined to address multiple uncertainties expressed as integration of intervals, fuzzy sets and probability distributions. IFCTIP integrates the inexact programming, two-stage stochastic programming, integer programming and fuzzy-stochastic programming within a general optimization framework. IFCTIP incorporates the pre-regulated water-diversion policies directly into its optimization process to analyze various policy scenarios; each scenario has different economic penalty when the promised targets are violated. More importantly, it can facilitate dynamic programming for decisions of capacity-expansion planning under fuzzy-stochastic conditions. IFCTIP is applied to a flood management system. Solutions from IFCTIP provide desired flood diversion plans with a minimized system cost and a maximized safety level. The results indicate that reasonable solutions are generated for objective function values and decision variables, thus a number of decision alternatives can be generated under different levels of flood flows. (C) 2009 Elsevier Ltd. All rights reserved.; http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000273918700007&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=8e1609b174ce4e31116a60747a720701 ; Water Resources; SCI(E); EI; 27; ARTICLE; 1; 81-91; 33
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/245580]
专题	城市与环境学院
推荐引用方式 GB/T 7714	Guo, P.,Huang, G. H.,Li, Y. P.. An inexact fuzzy-chance-constrained two-stage mixed-integer linear programming approach for flood diversion planning under multiple uncertainties[J]. 水资源进展,2010.
APA	Guo, P.,Huang, G. H.,&Li, Y. P..(2010).An inexact fuzzy-chance-constrained two-stage mixed-integer linear programming approach for flood diversion planning under multiple uncertainties.水资源进展.
MLA	Guo, P.,et al."An inexact fuzzy-chance-constrained two-stage mixed-integer linear programming approach for flood diversion planning under multiple uncertainties".水资源进展 (2010).