## 3 Results and Discussion  
The unique feature of fresh agricultural produce supply chain platform operations is related to its business object--fresh agricultural products. The supply, production, and sales process of fresh agricultural products in the supply chain revolves around the capability of the service to retain freshness in its products across all levels of the supply chain. Flow efficiency, quality, and safety are two aspects that require special attention [36; 37]. 1. At present, the definition of service quality with regard to the fresh agricultural produce supply chain platform and its evaluation are not systematic, perfect, or unified; hence, the focus of researchers in the selection process of service quality evaluation index systems may also vary. The traditional evaluation system is no longer suitable for the evaluation of the service quality of fresh agricultural produce supply chain platforms, and this system, which is mainly based on financial indexes, cannot be applied to this dynamic, complex, and coordinated type of evaluation. With the advancement of new technologies, how can one construct a supply chain service quality index system, taking its weights into consideration, in order to reflect the goal of coordinating fresh agricultural produce supply chain platforms? 2. At present, the fresh agricultural produce supply chain platform is not very stable in terms of its management system, business model, and information system. Moreover, the special refrigeration conditions required for fresh agricultural products cannot be guaranteed; thus, freshness and quality cannot be assured [38]. On the basis of constructing an evaluation index system, would it be difficult to determine how to select a model to regulate and influence cooperation among supply chain members? How could one enable the specific analysis of coordination-based evaluations in order to determine the service quality of fresh agricultural produce supply chain platforms, identify potential problems in supply chain development, and explore the best solutions to improve the current situation regarding fresh agricultural produce distribution? 3. Among the many indexes used for the evaluation of the service quality of fresh agricultural produce supply chain platforms, each of them has a different effect on the results in terms of sensitivity and the scores they obtain in the comprehensive evaluation. How can one build a scientific and reasonable sensitivity analysis model to observe the influence trend of indexes and index weights? How can one use scientific methods and advanced tools to make reasonable analyses of sensitivity changes? To tackle these main problems, this paper presented a specific analysis and elaborated upon three aspects. Firstly, by constructing a coordination-based service quality evaluation index system for fresh agricultural produce supply chain platforms, the study designed a research questionnaire to collect data regarding service quality satisfaction for a fresh agricultural produce supply chain platform; we subsequently conducted research and analysis. Then, the research applied the hierarchical analysis and fuzzy comprehensive evaluation methods to analyze the indexes and models of the examples, respectively. Next,we drew conclusions based on the application of the examples. Finally, the study proposed a sensitivity analysis model of multi-attribute comprehensive evaluation indexes and their weights, and at the same time, in order to verify whether the sensitivity analysis method is applicable to the multi-attribute comprehensive evaluation system, this paper performed a numerical analysis of the sensitivity analysis of the indexes and their weights in the evaluation application. The results of this sensitivity analysis could be used to accurately characterize the changes in each index in the service quality evaluation system of the fresh agricultural produce supply chain platform in the actual environment.