Interval-fuzzy possibilistic mixed integer linear programming for environmental management under uncertainty

被引：8

作者：

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

Huang, G. H. ^{[1
,2
]}

Guo, P. ^{[3
]}

Nie, S. L. ^{[4
]}

机构：

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

[2] Univ Regina, Fac Engn & Appl Sci, Environm Syst Engn Program, Regina, SK S4S 0A2, Canada

[3] China Agr Univ, Coll Water Conservancy & Civil Engn, Beijing 100083, Peoples R China

[4] Beijing Univ Technol, Coll Mech Engn & Appl Elect Technol, Beijing 100022, Peoples R China

来源：

INTERNATIONAL JOURNAL OF ENVIRONMENT AND POLLUTION | 2010年 / 42卷 / 1-3期

基金：

加拿大自然科学与工程研究理事会;

关键词：

decision; environment; FPP; fuzzy possibilistic programming; interval analysis; optimisation; solid waste; uncertainty; SOLID-WASTE MANAGEMENT; SYSTEMS; GREY; SIMULATION; EXPANSION; NUMBERS;

D O I：

10.1504/IJEP.2010.034229

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

This paper introduces an Interval-Fuzzy Possibilistic Programming (IFPP) method to handle uncertainties expressed as interval values and fuzzy sets. An interactive algorithm is advanced for solving the IFPP model, which does not lead to more complicated intermediate submodels and has a relatively low computational requirement. A municipal solid waste management problem is then studied to illustrate applicability of the proposed approach. The results indicate that reasonable solutions have been generated. They can facilitate the generation of multiple decision alternatives, as well as provide bases for in-depth analyses of tradeoffs among system cost, possibility degree, and constraint-violation risk.

引用

页码：107 / 124

页数：18

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