Efficient management of air quality considering fuzzy confidences with   varied reliabilities

doi:10.1080/0305215X.2011.620102

CORC > 北京大学 > 环境科学与工程学院

	Efficient management of air quality considering fuzzy confidences with varied reliabilities
	Xu, Y. ; Huang, G. H. ; Shao, L. G. ; Chen, C.
刊名	engineering optimization
	2012
关键词	fuzzy chance-constrained programming interval linear programming air quality management uncertainty LINEAR-PROGRAMMING MODEL LAND-USE MANAGEMENT ABATEMENT COSTS LAKE AREAS UNCERTAINTY STRATEGIES GREY
DOI	10.1080/0305215X.2011.620102
英文摘要	Regional air quality management systems are complicated by uncertainties due to their interactive, dynamic, and multi-objective features. In this study, an inexact double-sided fuzzy chance-constrained programming (IDFCCP) model was developed and applied to a hypothetical case of regional air quality management. The results indicated that the proposed IDFCCP improved upon the existing ILP and DFCCP approaches; the fuzzy confidences at different levels could be analysed with varied reliability scenarios, making it possible to handle fuzzy uncertainties originating from both sides of the model constraints; other uncertain parameters could be expressed in terms of discrete intervals. The trade-off between system economy and reliability could be analysed by decision makers according to their preferences. The study results demonstrated that the proposed method could help decision makers identify desired policies under various environmental, economic, system-feasibility and system-reliability constraints.; http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000306460100004&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=8e1609b174ce4e31116a60747a720701 ; Engineering, Multidisciplinary; Operations Research & Management Science; SCI(E); EI; 6; ARTICLE; 8; 947-964; 44
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/235986]
专题	环境科学与工程学院
推荐引用方式 GB/T 7714	Xu, Y.,Huang, G. H.,Shao, L. G.,et al. Efficient management of air quality considering fuzzy confidences with varied reliabilities[J]. engineering optimization,2012.
APA	Xu, Y.,Huang, G. H.,Shao, L. G.,&Chen, C..(2012).Efficient management of air quality considering fuzzy confidences with varied reliabilities.engineering optimization.
MLA	Xu, Y.,et al."Efficient management of air quality considering fuzzy confidences with varied reliabilities".engineering optimization (2012).