Application of Intelligent Fuzzy Decision Tree Algorithm in English Teaching Data Analysis System
Qiuying Hou · 2022
With the continuous growth of science and technique, intelligent technique is gradually accepted and widely used by people, and it has been applied in various fields. This paper mainly studies how to apply fuzzy theory to English teaching data analysis system. This paper adopts the method of combining hierarchical structure and tree structure to build a learning decision tree algorithm model (AHP) design and Implementation Based on the learning characteristics of college students. Through test experiments, it evaluates whether the scheme can achieve the expected goals and promote students' cognitive ability. From the test results of the system, the algorithm has excellent data processing ability, and the basic processing rate reaches more than 85%. This shows that the system optimized by the algorithm can meet the needs of users.