Research on crowdsourcing logistics service quality assessment based on cloud model and cloud similarity
The service quality evaluation of crowdsourcing logistics is essentially a multi criteria decision-making process considering qualitative and quantitative uncertainties and their transformation.Considering the randomness and fuzziness in the service quality evaluation process of crowdsourcing logistics,an evaluation method based on cloud model and cloud similarity is proposed.Cloud model is derived from information science.Based on probability statis-tics and fuzzy set theory,it can realize the transformation between qualitative concepts and quantitative data.The shape similarity and distance similarity of normal cloud model are proposed,and the comprehensive similarity evalua-tion framework of cloud model is established,and the calculation method is given based on the digital characteristics of cloud model.Taking Xi'an crowdsourcing logistics service quality as the research background,the key factors affect-ing the service quality level are obtained and targeted countermeasures and suggestions are given.At the same time,the evaluation method based on cloud model and cloud similarity is verified.
Service quality evaluationCloud modelCloud similarityFuzziness and randomnessMulti-criteria decision-making