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 50 条
  • [31] A Superiority-Inferiority-Based Inexact Fuzzy Stochastic Programming Approach for Solid Waste Management Under Uncertainty
    Tan, Qian
    Huang, Gordon H.
    Cai, Yanpeng
    [J]. ENVIRONMENTAL MODELING & ASSESSMENT, 2010, 15 (05) : 381 - 396
  • [32] Fuzzy Parametric Programming Model for Integrated Solid Waste Management under Uncertainty
    Srivastava, Amitabh Kumar
    Nema, Arvind K.
    [J]. JOURNAL OF ENVIRONMENTAL ENGINEERING, 2011, 137 (01) : 69 - 83
  • [33] A GRAY FUZZY LINEAR-PROGRAMMING APPROACH FOR MUNICIPAL SOLID-WASTE MANAGEMENT PLANNING UNDER UNCERTAINTY
    HUANG, GH
    BAETZ, BW
    PATRY, GG
    [J]. CIVIL ENGINEERING SYSTEMS, 1993, 10 (02): : 123 - 146
  • [35] Interval Goal Programming Approach to Multiobjective Fuzzy Goal Programming Problem with Interval Weights
    Sen, Shyamal
    Pal, Bijay Baran
    [J]. FIRST INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE: MODELING TECHNIQUES AND APPLICATIONS (CIMTA) 2013, 2013, 10 : 587 - 595
  • [36] A new approach for long term planning of solid waste management systems using fuzzy global criterion
    Chang, NB
    Lu, HY
    [J]. JOURNAL OF ENVIRONMENTAL SCIENCE AND HEALTH PART A-ENVIRONMENTAL SCIENCE AND ENGINEERING & TOXIC AND HAZARDOUS SUBSTANCE CONTROL, 1997, 32 (04): : 1025 - 1047
  • [37] Managerial fuzzy optimal planning for solid-waste management systems
    Chang, NB
    Wang, SF
    [J]. JOURNAL OF ENVIRONMENTAL ENGINEERING-ASCE, 1996, 122 (07): : 649 - 658
  • [38] Dual-Interval Linear Programming Model and Its Application to Solid Waste Management Planning
    Liu, Zhenfang
    Huang, Guohe
    Nie, Xianghui
    He, Li
    [J]. ENVIRONMENTAL ENGINEERING SCIENCE, 2009, 26 (06) : 1033 - 1045
  • [39] Municipal waste management and electrical energy generation from solid waste: a mathematical programming approach
    Valizadeh, Jaber
    Mozafari, Peyman
    Hafezalkotob, Ashkan
    [J]. JOURNAL OF MODELLING IN MANAGEMENT, 2022, 17 (01) : 309 - 340
  • [40] Fuzzy interval programming for energy and environmental systems management under constraint-violation and energy-substitution effects: A case study for the City of Beijing
    Dong, Cong
    Huang, Guohe
    Cai, Yanpeng
    Li, Wei
    Cheng, Guanhui
    [J]. ENERGY ECONOMICS, 2014, 46 : 375 - 394