LAUSR

Under the increasingly complex social and economic environment, it is particularly important to conduct scientific performance evaluation and analysis. As an effective means of performance evaluation and management, multimedia data envelopment analysis has been widely used in various industries, and has produced numerous research results. At present, there are relatively few applications of multimedia data envelopment analysis in this area. The research of new multimedia data envelopment analysis model combined with modern data mining technology is scientific and innovative, and can provide certain performance for complex performance evaluation and analysis. In view of this, the paper firstly studies the multimedia data envelopment analysis model by combining fuzzy c-means clustering, principal component analysis and multimedia data envelopment analysis, and establishes the multimedia data envelopment optimization selection model and PCA-DEA. The model is mixed and the solution algorithm is given. Then, using the collected local unit data, the multimedia data envelope index data is constructed, and the established model is used to analyze the multimedia data envelope. The research results show that the established model combines the characteristics of data mining technology and multimedia data envelopment analysis method to meet certain complex performance evaluation and analysis requirements, and can provide certain data support for local public performance management.