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Comprehensive transportation system's evaluation method of hierarchy TOPSIS based on fuzzy threshold

机译：基于模糊阈值的综合交通系统的层次上衣评价方法

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摘要

Based on fuzzy threshold concept from Pedrycz's shadowed sets, the disturbed generalized means of fuzzy numbers were derived and used as ranking basis. We improved fuzzy TOPSIS correspondingly by substituting the largest similarity with its generalized forms in consideration of fuzzy threshold, together with the hierarchy of the attributes, thus provided a new evaluation method -fuzzy threshold hierarchical TOPSIS. It does not only take the subjective opinion of experts into account, but also avoids the un-comparability problem between some fuzzy numbers. The case study illustrates that the results is practical and with strong reliability and applicability, which can be applied to various problem concerned with comprehensive transportation system's evaluation.
机译：基于Pedrycz暗影集的模糊阈值概念，衍生和使用扰动的模糊数的扰动的普遍方法。通过考虑模糊阈值，通过将最大相似性与其普遍的形式代替，与属性的层次组成，相应地改进了模糊的顶部，因此提供了一种新的评估方法-Fuzzy阈值分层Topsis。它不仅考虑了专家的主观意见，而且还避免了某些模糊数之间的联合不比能问题。案例研究表明，结果实用，具有强大的可靠性和适用性，可应用于综合交通系统评估的各种问题。

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