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Service quality evaluation of satellite data distribution system based on BP-IPA
Computational Intelligence ( IF 1.8 ) Pub Date : 2020-07-09 , DOI: 10.1111/coin.12364
Jiahua Jin 1 , Lu Lu 2 , Xiangbin Yan 1
Affiliation  

With the remarkable advances in remote sensing technology, remote sensing data collected by satellites play an important role in many application domains, in particular the smart city. The service quality of satellite data distribution systems (SDDS) is vital for both administrators and end users. Therefore, it is of practical significance to fully understand the factors that affect the satellite data distribution service. Based on prior studies of e-service quality evaluation and the characteristics of the satellite data, a multidimensional and multi-level service quality evaluation model of the SDDS is proposed. A questionnaire was designed based on the proposed model to collect users' evaluation data. Backpropagation neural network was employed to examine whether and how factors in the proposed model affect the overall service quality. The results were interpreted using importance and performance analysis to assess the relationship between the keys of service quality of the SDDS and the overall service quality. Findings have important managerial implications for the quality management of the SDDS.

中文翻译:

基于BP-IPA的卫星数据分发系统服务质量评价

随着遥感技术的显着进步,卫星采集的遥感数据在许多应用领域发挥着重要作用,尤其是智慧城市。卫星数据分发系统 (SDDS) 的服务质量对管理员和最终用户都至关重要。因此,充分了解影响卫星数据分发服务的因素具有现实意义。基于已有的电子服务质量评价研究,结合卫星数据的特点,提出了多维度、多层次的SDDS服务质量评价模型。基于所提出的模型设计了一个问卷来收集用户的评价数据。采用反向传播神经网络来检查所提出模型中的因素是否以及如何影响整体服务质量。使用重要性和性能分析来解释结果,以评估 SDDS 服务质量的关键与整体服务质量之间的关系。调查结果对 SDDS 的质量管理具有重要的管理意义。
更新日期:2020-07-09
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