Violation analysis for solid waste management systems: an interval fuzzy programming approach

被引:73
作者
Huang, YF
Baetz, BW
Huang, GH [1 ]
Liu, L
机构
[1] Hunan Univ, Canada China Ctr Energy & Environm Res, Changsha 410082, Peoples R China
[2] Univ Regina, Fac Engn, Energy & Environm Program, Regina, SK S4S 0A2, Canada
[3] Tulane Univ, Dept Civil & Environm Engn, New Orleans, LA 70118 USA
[4] Dalhousie Univ, Dept Civil Engn, Halifax, NS B3J 1Z1, Canada
关键词
decision-making; environment; fuzzy programming; interval; optimization; planning; regret analysis; solid waste; uncertainty;
D O I
10.1006/jema.2002.0566
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 a violation analysis approach for the planning of regional solid waste management systems under uncertainty, based on an interval-parameter fuzzy integer programming (IPFIP) model. In this approach, several given levels of tolerable violation for system constraints are permitted. This is realized through a relaxation of the critical constraints using violation variables, such that the model's decision space can be expanded. Thus, solutions from the violation analysis will not necessarily satisfy all of the model's original constraints. Application of the developed methodology to the planning of a waste management system indicates that reasonable solutions can be generated through this approach. Considerable information regarding decisions of facility expansion and waste flow allocation within the waste management system were generated. The modeling results help to generate a number of decision alternatives under various system conditions, allowing for more in-depth analyses of tradeoffs between environmental and economic objectives as well as those between system optimality and reliability. (C) 2002 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码:431 / 446
页数:16
相关论文
共 31 条
[1]   Multipass machining optimization by using fuzzy possibilistic programming and genetic algorithms [J].
Alberti, N ;
Perrone, G .
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE, 1999, 213 (03) :261-273
[2]  
ANDERSON LE, 1968, 681 U CAL SAN ENG RE
[3]  
[Anonymous], COMPUTING S6
[4]  
[Anonymous], STOCHASTIC VERSUS FU
[5]   CAPACITY PLANNING FOR WASTE MANAGEMENT-SYSTEMS [J].
BAETZ, BW .
CIVIL ENGINEERING SYSTEMS, 1990, 7 (04) :229-235
[6]   OPTIMIZATION SIMULATION MODELING FOR WASTE MANAGEMENT CAPACITY PLANNING [J].
BAETZ, BW .
JOURNAL OF URBAN PLANNING AND DEVELOPMENT-ASCE, 1990, 116 (02) :59-79
[7]   COMPARISON OF OPTIMIZATION FORMULATIONS FOR WASTE-LOAD ALLOCATIONS [J].
BURN, DH ;
LENCE, BJ .
JOURNAL OF ENVIRONMENTAL ENGINEERING-ASCE, 1992, 118 (04) :597-612
[8]   On the equivalence of two optimization methods for fuzzy linear programming problems [J].
Chanas, S ;
Zielinski, P .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2000, 121 (01) :56-63
[9]   A new approach for long term planning of solid waste management systems using fuzzy global criterion [J].
Chang, NB ;
Lu, HY .
JOURNAL OF ENVIRONMENTAL SCIENCE AND HEALTH PART A-ENVIRONMENTAL SCIENCE AND ENGINEERING & TOXIC AND HAZARDOUS SUBSTANCE CONTROL, 1997, 32 (04) :1025-1047
[10]  
CHANG NB, 1995, CIVIL ENG SYST, V11, P287