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首页> 外文期刊>Transport >A new fuzzy additive ratio assessment method (ARAS‐F). Case study: The analysis of fuzzy multiple criteria in order to select the logistic centers location
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A new fuzzy additive ratio assessment method (ARAS‐F). Case study: The analysis of fuzzy multiple criteria in order to select the logistic centers location

机译:一种新的模糊加性比率评估方法(ARAS-F)。案例研究:分析模糊多准则以选择物流中心位置

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The main approaches which are applied to select the logistic center are the methods of gravity center, analytic hierarchy process, similarity to ideal solution, fuzzy ranking, assessment, etc. Multiple Criteria Decision‐Making (MCDM) combines analytical and inductive knowledge, describing a domain problem, which can be fuzzy and/or incomplete. The fuzzy MCDM (FMCDM) approach can explain the problem more appropriately. The purpose of the paper is to select the most suitable site for logistic centre among a set of alternatives, to help the stakeholders with the performance evaluation in an uncertain environment, where the subjectivity and vagueness of criteria are described by triangular fuzzy numbers. The paper presents a newly‐developed ARAS‐F method to solve different problems in transport, construction, economics, technology and sustainable development. First published online: 10 Feb 2011.
机译:选择物流中心的主要方法是重心方法,层次分析法,与理想解的相似度,模糊等级,评估等。多标准决策(MCDM)结合了分析和归纳知识,描述了领域问题,可能是模糊的和/或不完整的。模糊MCDM(FMCDM)方法可以更恰当地解释该问题。本文的目的是从一组备选方案中选择最适合物流中心的地点,以帮助利益相关者在不确定的环境中进行绩效评估,在该环境中,标准的主观性和模糊性由三角模糊数来描述。本文提出了一种新开发的ARAS-F方法,以解决交通,建筑,经济,技术和可持续发展方面的各种问题。首次在线发布:2011年2月10日。

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