Cloud Model and its Teasoning in the Teaching Evaluation System

摘要

Uncertainty reasoning is an important current research areas of artificial intelligence. When using the traditional methods to evalue teaching effectiveness, there are some limitations. Cloud model, which is a quantitative and qualitative swithcing model of knowledge representation, can solve the shortcomings of traditional methods to extract the hidden useful information from amounts of data and evalue the teachers' teaching comprehensively and objectively.