Research on Comprehensive Evaluation of Air Purifiers Based on AHP Model Algorithm

In order to establish a reasonable evaluation system to evaluate the various characteristics of air purifiers, this paper establishes an Analytic Hierarchy Process (AHP) model and selects different models of air purifiers as the scheme layer; Selecting different characteristics of air purifiers as the decision-making layer; Select the target layer as the first place in comprehensive evaluation, compare and evaluate the importance of each feature with data pairwise, establish a judgment matrix, and finally obtain the weight of each feature of the air purifier. Use consistency testing to judge the accuracy of the matrix, normalize the data, and take negative values for features that are negatively correlated with consumer psychological expectations. Adjust the feature quantity (decision layer) × The weight is used to obtain the expected score for each air purifier feature, and the evaluation criteria for the air purifier are based on the high or low score. Next, analyze the characteristics of the ten different models of air purifiers selected using this evaluation system, and judge the overall quality of the purifier characteristics based on the scores. Then, a suitable physical model was established for the air purifier. This article establishes a suitable BP neural network model, predicts the relationship, and draws a trace graph to simulate the pollution removal situation.