Modeling for Environmental-Economic Management Systems under Uncertainty

被引：4

作者：

Li, Y. F. ^{[1
]}

Li, Y. P. ^{[1
]}

Huang, G. H. ^{[1
]}

Zhou, M. ^{[2
]}

Xie, Y. L. ^{[1
]}

机构：

[1] N China Elect Power Univ, SC Res Acad Energy & Environm Studies, Beijing 102206, Peoples R China

[2] Peking Univ, Coll Urban & Environ Sci, Beijing 100871, Peoples R China

来源：

INTERNATIONAL CONFERENCE ON ECOLOGICAL INFORMATICS AND ECOSYSTEM CONSERVATION (ISEIS 2010) | 2010年 / 2卷

关键词：

environmental and economic management; interval; fuzzy; multiobjective; uncertainty; SOLID-WASTE MANAGEMENT; LINEAR-PROGRAMMING APPROACH;

D O I：

10.1016/j.proenv.2010.10.023

中图分类号：

Q14 [生态学（生物生态学）];

学科分类号：

071012 ; 0713 ;

摘要：

In this study, an interval-fuzzy multiobjective programming (IFMOP) model is developed for supporting planning of environmental and economic management activities of chemical industry district in Tianjin, China. In the IFMOP model, both interval-parameter programming (IPP) and fuzzy programming (FP) methods are introduced into a multiobjective programming framework. The modeling approach inherits advantages of IPP and FP, and allows uncertainties and decision-makers' aspirations to be directly communicated into the optimization process and resulting solutions. The developed model can help tackle dynamic, uncertain and multiobjective characteristics of the water environmental and economic management system in the chemical industry district, and can address issues concerning plans for cost-effective industrial production. (C) 2010 Published by Elsevier Ltd.

引用

页码：192 / 198

页数：7

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