Comprehensive Competency Evaluation of Vocational Undergraduate Students Based on multi-layer ER Rules

Aiming at the problems in the evaluation of the comprehensive ability of vocational undergraduates and analyze the requirements of vocational undergraduates for the comprehensive ability of college students, study the problems of the index system and existing methods for evaluation problems, and propose a model for assessing the comprehensive ability of vocational undergraduates based on multilayer evidential reasoning rules. Evidential reasoning rule is an intelligent information fusion algorithm developed and extended based on Dempster-Shafer evidence theory, which can deal with the problems of diversifying evaluation information, describing the uncertainty of assessment information, and considering the reliability of evaluation information. The model firstly analyzes diversified information using natural language processing methods and standardizes it using rule/utility methods to realize data analysis and mining of diversified information; secondly, it uses hierarchical analysis and mathematical statistics methods to solve the weight and reliability of indicator information; finally, it realizes the fusion of diversified information based on evidence-based inference rules to evaluate the comprehensive ability of vocational undergraduates. The model is multilevel and interpretable, and can realize the combination of stage evaluation and result evaluation. Validate the effectiveness of the method through case study.