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Application of the fuzzy analytic hierarchy process in multi-criteria decision in noise action plans: Prioritizing road stretches

机译:模糊层次分析法在噪声行动计划多标准决策中的应用:优先考虑道路延伸

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摘要

Traffic noise is one of the major environmental impacts of road infrastructures. Critical study of published Noise Action Plans (NAP) signals a widespread lack of objective criteria and methodologies for prioritizing actions against noise as well as the suitability of solutions. The present paper develops a methodology to sort, by priority, road stretches included in a NAP. In obtaining and allocating weights to variables involved in the decision-making problem (“Road Stretch Priority Variables”) to define a normalized numerical index (“Road Stretch Priority Index”), Fuzzy Analytic Hierarchy Process (FAHP) with two different defuzzification methods is applied to the results of an expert panel. Comparison of the outcomes of both FAHP versions, plus analysis of the results of a case study, enables to determine the relative influence of these variables in the problem. An objective and reasoned methodology for the prioritized classification of road stretches according to noise problems is thereby validated.
机译:交通噪声是道路基础设施的主要环境影响之一。对已发布的《噪声行动计划》(NAP)的严格研究表明,普遍缺乏客观的标准和方法来确定针对噪声的行动的优先级以及解决方案的适用性。本文开发了一种方法,可以按优先顺序对NAP中包含的路段进行分类。在获得权重并将权重分配给决策问题中涉及的变量(“道路伸展优先级变量”)以定义归一化的数字指标(“道路伸展优先级指标”)时,采用两种不同的反模糊化方法的模糊层次分析法(FAHP)是应用于专家小组的结果。比较两个FAHP版本的结果,再加上案例研究结果的分析,可以确定这些变量在问题中的相对影响。从而验证了一种客观合理的方法,可以根据噪声问题对路段进行优先分类。

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