Market Network Marketing Performance Evaluation in a Smart City Based on Fuzzy Algorithm

Abstract

Abstract In order to overcome the problems of long time-consuming evaluation results generation processes, low accuracy of evaluation results, and poor self-adaptability existing in traditional market network marketing performance evaluation models, this study designed a market network marketing performance evaluation model based on fuzzy algorithms. First, complete the design of the overall deployment architecture of the model by designing the terminal layer, server layer, and data layer. Among them, the work efficiency of the model is improved by setting a web server. Then, based on the analysis and evaluation principles, four first-level evaluation indicators and 18 second-level indicators are constructed, and then the evaluation of market network marketing performance is completed by designing fuzzy rules and the operation process of fuzzy algorithms, and combining the index weights. Experimental verification shows that the generation process of the evaluation results of this model is less time-consuming, the evaluation results are highly accurate, and the adaptive ability is strong, which proves that it has achieved the design expectations.