A GRAY LINEAR-PROGRAMMING APPROACH FOR MUNICIPAL SOLID-WASTE MANAGEMENT PLANNING UNDER UNCERTAINTY

被引：435
作者：
HUANG, GH
BAETZ, BW
PATRY, GG
机构：
[1] Department of Civil Engineering, McMaster University, Hamilton, Ontario
来源：
CIVIL ENGINEERING SYSTEMS | 1992年 / 9卷 / 04期
基金：
加拿大自然科学与工程研究理事会;
关键词：
GRAY SYSTEMS THEORY; GRAY LINEAR PROGRAMMING; UNCERTAINTY; MUNICIPAL SOLID WASTE MANAGEMENT; DECISION MAKING;
D O I：
10.1080/02630259208970657
中图分类号：
TU [建筑科学];
学科分类号：
0813 ;
摘要：
In optimization analysis by linear programming, uncertainties may exist in model coefficients and stipulations (right-hand side constraints). These uncertainties can propagate through the analysis and generate uncertainties in the results. However, among the previous methods dealing with uncertainty, some were too complicated to be applied to actual problems, and some were unable to reflect completely the uncertainties of the input and output information. In this paper, a grey linear programming (GLP) model is introduced to the civil engineering area. This method allows uncertainties in the model inputs to be communicated into the optimization process, and thereby solutions reflecting the inherent uncertainties can be derived. A grey linear programming problem can be solved easily by running a simplex program several times. The modelling approach is applied to a hypothetical problem of waste flow allocation planning within a municipal solid waste management system. The results indicate that reasonable solutions can be generated for both the lower and upper limit objective function cases.
引用
收藏
页码：319 / 335
页数：17
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