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模糊多准则处理方法与城市固体废物处置场地选择

Fuzzy multicriteria disposal method and site selection for municipal solid waste.

机构信息

Istanbul Technical University, Department of Management Engineering, 34367 Macka, Istanbul, Turkey.

出版信息

Waste Manag. 2010 Aug-Sep;30(8-9):1729-36. doi: 10.1016/j.wasman.2010.02.031. Epub 2010 Mar 19.

Abstract

The use of fuzzy multiple criteria analysis (MCA) in solid waste management has the advantage of rendering subjective and implicit decision making more objective and analytical, with its ability to accommodate both quantitative and qualitative data. In this paper a modified fuzzy TOPSIS methodology is proposed for the selection of appropriate disposal method and site for municipal solid waste (MSW). Our method is superior to existing methods since it has capability of representing vague qualitative data and presenting all possible results with different degrees of membership. In the first stage of the proposed methodology, a set of criteria of cost, reliability, feasibility, pollution and emission levels, waste and energy recovery is optimized to determine the best MSW disposal method. Landfilling, composting, conventional incineration, and refuse-derived fuel (RDF) combustion are the alternatives considered. The weights of the selection criteria are determined by fuzzy pairwise comparison matrices of Analytic Hierarchy Process (AHP). It is found that RDF combustion is the best disposal method alternative for Istanbul. In the second stage, the same methodology is used to determine the optimum RDF combustion plant location using adjacent land use, climate, road access and cost as the criteria. The results of this study illustrate the importance of the weights on the various factors in deciding the optimized location, with the best site located in Catalca. A sensitivity analysis is also conducted to monitor how sensitive our model is to changes in the various criteria weights.

摘要

模糊多准则分析(MCA)在固体废物管理中的应用具有将主观和隐含的决策变得更加客观和分析性的优点,并且能够同时容纳定量和定性数据。本文提出了一种改进的模糊 TOPSIS 方法,用于选择合适的城市固体废物(MSW)处理方法和场地。我们的方法优于现有方法,因为它具有表示模糊定性数据的能力,并以不同程度的隶属度呈现所有可能的结果。在提出的方法的第一阶段,一组成本、可靠性、可行性、污染和排放水平、废物和能源回收的标准进行了优化,以确定最佳的 MSW 处理方法。考虑的替代方案包括填埋、堆肥、常规焚烧和垃圾衍生燃料(RDF)燃烧。选择标准的权重由层次分析法(AHP)的模糊成对比较矩阵确定。结果表明,RDF 燃烧是伊斯坦布尔最佳的处理方法。在第二阶段,使用相邻土地利用、气候、道路接入和成本等标准,使用相同的方法来确定最佳的 RDF 燃烧厂位置。本研究的结果说明了在决定优化位置时,各种因素的权重的重要性,最佳地点位于 Catalca。还进行了敏感性分析,以监测我们的模型对各种标准权重变化的敏感性。

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