An independent variable controlled grey fuzzy linear programming approach for waste plow allocation planning

被引：26

作者：

Zou, R ^{[1
]}

Lung, WS

Guo, HC

Huang, G

机构：

[1] Univ Virginia, Dept Civil Engn, Charlottesville, VA 22903 USA

[2] Peking Univ, Ctr Environm Sci, Beijing 100871, Peoples R China

[3] Univ Regina, Fac Engn, Regina, SK S4S 0A2, Canada

来源：

ENGINEERING OPTIMIZATION | 2000年 / 33卷 / 01期

关键词：

independent variables controlled grey fuzzy linear programming; grey decision; fuzzy decision; uncertainty; optimization; municipal solid waste management;

D O I：

10.1080/03052150008940912

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

This paper proposes an independent variable controlled grey fuzzy linear programming (IVC-GFLP) approach to address uncertainty in optimization processes. The IVC-GFLP method improves upon established grey linear programming (GLP) and ordinary grey fuzzy linear programming (GFLP) methods by introducing independent control variables into model formulations. These variables enable the model to address the independent characteristics of constraint uncertainty well. In this paper, the IVC-GFLP approach is applied to a hypothetical case study of municipal solid waste management. Included comparisons between the IVC-GFLP and GLP/GFLP solutions indicate that the IVC-GFLP approach can provide more realistic and applicable solutions than its counterparts.

引用

页码：87 / 111

页数：25