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The purpose of this article is to evaluate the service requirements of dedicated container terminals (DCTs). In this article, the service attributes (SAs) of DCTs were first discussed. A fuzzy analytic hierarchy process model was then constructed to measure the users’ perceived importance and dissatisfaction for each of the SAs. Based on these two measurements, a revised importance-performance analysis model was proposed to identify the SAs that should be improved. To validate the model, the dedicated container terminal of Evergreen Marine Corp. (EMC DCT) at Kaohsiung Port and its users were empirically investigated. With respect to the empirical results, managerial implications of the findings in improving service quality for the EMC DCT are discussed. 相似文献
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针对城市轨道交通车站服务质量评价体系不够完善和指标赋权方法较单一的现状,结合当前乘客消费理念及出行习惯,构建基于乘客感知的初始评价指标体系。应用改进粒子群算法(IPSO)与极端梯度提升树(XGB)的混合算法IPSO-XGB计算各指标权重,结合乘客满意度,形成IPA矩阵,得到最终的评价结果,并进一步精简评价指标体系。以长沙地铁五一广场站为例,用分类误差率衡量算法优劣,对车站服务质量进行评价,并将其结果与分类回归树、神经网络等评价算法进行对比。研究结果表明:本文提出的IPSO-XGB评价算法的分类误差率最小,可降至3.85%。 相似文献
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