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A comprehensive evaluation of the logistics service quality based on vague sets theory

机译:基于Vague集理论的物流服务质量综合评价。

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The main purpose of the study is to establish a method for evaluating the logistics service quality. Some studies have applied the SERVQUAL to evaluate service quality, however most of these studies focus on the choice of index, and the evaluation method of logistics service quality receives little attention, especially fuzzy evaluation method. As a fact human judgments are often vague and it is not easy to express the weights of evaluation criteria and the satisfaction of logistics service quality with an exact numerical value. Due to the existing fuzziness in the logistics service quality evaluation and a vague set can provide more information than a fuzzy set, vague set theory is an appropriate method for dealing with uncertainty. This article attempts to fill this gap in the current literature by establishing an improved fuzzy comprehensive evaluation method based on vague sets for evaluating the logistics service quality. The method may reflect both for/true and against/false judgment information in practice and it will efficiently manage the essential fuzziness in human judgment and preference. Moreover, an example of the evaluation process of logistics service quality is shown to illustrate the proposed theory and method.
机译:研究的主要目的是建立一种评估物流服务质量的方法。已有研究将SERVQUAL应用于服务质量评价,但大多数研究集中在指标的选择上,物流服务质量评价方法很少受到关注,尤其是模糊评价方法。事实上,人的判断常常含糊不清,用精确的数值来表达评估标准的权重和对物流服务质量的满意度并不容易。由于物流服务质量评估中存在模糊性,并且模糊集可以提供比模糊集更多的信息,因此模糊集理论是处理不确定性的一种合适方法。本文试图通过建立一种改进的基于模糊集的模糊综合评价方法来评估物流服务质量,以填补当前文献中的空白。该方法可以在实践中反映赞成/正确和反对/错误判断信息,并且它将有效地管理人类判断和偏好中的基本模糊性。此外,以物流服务质量评估过程为例,说明了所提出的理论和方法。

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