## 3 Results and Discussion
### Analysis of Results  
Main Numerical Analysis Results  
Combined with the results of the interviews of a sample of consumers of the \"Fresh Network\" project, it was found that consumers are most sensitive to the average price advantage of the same category and the collaborative response speed of the supply chain as a whole; the analysis results were shown to be essentially consistent with the actual results. Therefore, the evaluation results are scientific and reasonable, and they confirm that the sensitivity analysis method for index values and index weights is suitable for the comprehensive evaluation of multi-attribute fresh agricultural produce supply chain platform systems.  
The comprehensive comparison of the coordination effect of evaluation indexes is a relatively complex task. On the one hand, the influence of the index value on the service quality of the fresh agricultural produce supply chain platform on the comprehensive evaluation score was analyzed, and it was proposed that focusing on coordinating and improving the capital flow in the supply chain provides the possibility of using controllable index values to adjust the evaluation results. Moreover, based on the sensitivity analysis of index weights, an improved sensitivity analysis method that considers the changes caused by this method to index weights from their initial value was also proposed. This meant that two sensitivity analyses were conducted to determine the change in index weights from the initial values of the indexes, and the coordination ability of financial flow also needs to be noted. The conclusions of the analysis of index values and index weights show that the coordination of capital flow should be given priority in the process of fresh agricultural produce supply chain platform operations, and the coordination of supply chain operations can be achieved through various means of optimizing capital flow. Advantages and Disadvantages  
Figure 6: Summary of sensitivity intervals caused by changes in the weights of each index and their initial values.  
Compared with previous similar studies, it was found that our principle method for conducting a sensitivity analysis of indexes and their weights in this paper are scientific and practical, and they are especially applicable for use with the comprehensive evaluation method, with many indexes. Through Matlab programming, the initial values of the indexes and their weights, using the example of the \"Fresh Networking\" project, were inputted into the model program. The corresponding results were obtained through the operation, and the final conclusions reflect the characteristics of the indexes. More specifically, it was shown that the proposed improved evaluation index and its weight sensitivity analysis method can identify index parameters with higher levels of sensitivity in the original problem, and it can also determine how changes in each index parameter affect the evaluation results. It can provide evaluators and decision makers involved in the service quality of fresh agricultural produce supply chain platform with more scientific and reasonable sensitivity characteristics for further support in decision making. On one hand, the numerical analysis method in this study does not take into account the probability of future changes in uncertain factors. This probability is directly related to the occurrence of risk. On the other hand, the evaluation methods in the study are highly subjective, which means they cannot be used to solve the problem of information duplication caused by the correlation between evaluation indexes, and thus, they are not suitable for use in high-accuracy problems.