模糊分析网络过程在交通问题排序中的应用

Alina Cynthia Dewi, Rini Indahwati, Mohammad Rachman Waluyo
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引用次数: 1

摘要

这项研究的主要目标是帮助决策者优先考虑运输问题。尽管确定了许多标准,但对运输的关键问题的研究较少。为了填补这一空白,本研究对运输的关键问题进行了优先排序。本研究中开发的方法实现了模糊ANP来确定运输问题标准和子标准的权重。因此,确定了最高级别的子标准,即“专业性”(0.203),其次是“个人车辆偏好”(0.190)和“电子票证”(0.145)。尽管确定了交通问题的优先级,但未来的研究需要制定替代策略来制定交通改善策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
IMPLEMENTATION OF FUZZY ANALYTICAL NETWORK PROCESS IN PRIORITIZING TRANSPORTATION PROBLEM
The main goal of this research is to help decision maker in prioritizing transportation problems. Although numerous criteria were identified, the critical problems of transportation is less investigated. In order to fill this gap, this study was carried out to prioritizing the critical problems of transportation. The approach developed in this study implements fuzzy ANP to determine the weight for transportation problem criteria and sub criteria. As a result, the highest rank sub criteria was identified, that is “Professionalism” (0.203), followed by “Personal vehicle preferences” (0.190) and “E-ticket” (0.145) . Although prioritize of transportation problems were identified, future research needed to develop the alternative strategy for developing transportation improvement strategies.
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