With the rapid development of Internet, online shopping is more and more popular. At the same time, the return of online shopping is becoming more and more frequent .In order to improve the online shopping experience, logistics service has become the important factors influencing the vigorous development of online shopping. Integrating the traditional theories of Service Quality and Logistics Service Quality Measures, the study will conduct some empirical manner to investigate the e-logistics problem within online shopping business. Considering the particularity of e-commerce logistics service under the return situation, this paper, on the basis of reading lots of literature at home and abroad, set up scientific electronic retail logistics service quality perception (ERLSQ-CP) evaluation model. In this paper, we study logistics service quality and customer satisfaction, loyalty and trust relationship of mutual influence under the return situation, to provide online shopping service quality improvement basis and suggestion and to enhance competitiveness.
In current research of complex system health assessment with evidential reasoning (ER) rule, the relationship between the indicators reference grades and pre-defined assessment result grades is regarded as a one to one correspondence. However, in engineering practice, this strict mapping relationship is difficult to meet, and it may degrease the accuracy of the assessment. Therefore, a new ER rule-based health assessment model for a complex system with a transformation matrix is adopted. First, on the basis of the rule-based transformation technique, expert knowledge is embedded on the transformation matrix to solve the inconsistent problems between the input and the output, which keeps completeness and consistency of information transformation. Second, a complete health assessment model is established via the calculation and optimization of the model parameters. Finally, the effectiveness of the proposed model can be validated in contrast with other methods.
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