Department of Environmental System Engineering, Faculty of Engineering, University of Regina, Regina, Saskatchewan, Canada.
J Air Waste Manag Assoc. 2010 Jun;60(6):711-21. doi: 10.3155/1047-3289.60.6.711.
In this study, a fuzzy robust credibility-constrained programming (FRCCP) is developed and applied to the planning for waste management systems. It incorporates the concepts of credibility-based chance-constrained programming and robust programming within an optimization framework. The developed method can reflect uncertainties presented as possibility-density by fuzzy-membership functions. Fuzzy credibility constraints are transformed to the crisp equivalents with different credibility levels, and ordinary fuzzy inclusion constraints are determined by their robust deterministic constraints by setting a-cut levels. The FRCCP method can provide different system costs under different credibility levels (lambda). From the results of sensitivity analyses, the operation cost of the landfill is a critical parameter. For the management, any factors that would induce cost fluctuation during landfilling operation would deserve serious observation and analysis. By FRCCP, useful solutions can be obtained to provide decision-making support for long-term planning of solid waste management systems. It could be further enhanced through incorporating methods of inexact analysis into its framework. It can also be applied to other environmental management problems.
在这项研究中，开发了一种模糊鲁棒可信性约束规划（FRCCP），并将其应用于废物管理系统的规划中。它在优化框架内结合了基于可信度的机会约束规划和鲁棒规划的概念。所开发的方法可以反映模糊隶属函数表示的不确定性。模糊可信性约束通过不同的可信度水平转化为清晰等效物，普通模糊包含约束通过设定 a 切分水平由其鲁棒确定性约束确定。FRCCP 方法可以在不同的可信度水平（λ）下提供不同的系统成本。从敏感性分析的结果来看，垃圾填埋场的运营成本是一个关键参数。对于管理部门来说，任何可能导致填埋作业成本波动的因素都值得认真观察和分析。通过 FRCCP，可以获得有用的解决方案，为固体废物管理系统的长期规划提供决策支持。通过将不精确分析方法纳入其框架，可以进一步增强它。它也可以应用于其他环境管理问题。
