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Majority of teaching quality evaluation uses fuzzy comprehensive evaluation at present. The fuzzy comprehensive evaluation is good at dealing with the subjective evaluation information. But it is not good at dealing with the objective evaluation information. To solve the problem, the paper used two mathematical models which were fuzzy comprehensive evaluation and Markov chain to handle the information...
Student model is a very important and time-consuming process in intelligent tutoring system. Furthermore, for many Web based educational systems, student personality is hard to apply explicitly. To address this problem, we proposed an approach for combining fuzzy compositive evaluation with Bayesian network to design an applied student model. This article describes improvements made to the method...
To make the structure of attribute variables in Naiumlve Bayesian classifier (NB) or Tree Augmented Naive Bayesian classifier (TAN) more flexible and improve the accuracy of classification, a new Bayesian classifier called SubTree Augmented Naive Bayesian classifier (STAN) is proposed in this paper. It adopts the fuzzy equivalence partition approach to partition attribute variables into several subsets...
In order to mine the hidden knowledge, and solve the problem of ldquodata is superfluous but knowledge is sparerdquo, data mining is used widely. Data classification is an important task of data mining, which has been at the center of research interest in recent years. The research of this paper is on classification. Starting from fuzzy KNN classification method, based on the idea of cluster before...
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