摘要
该文对如何提高学习者的学习效率,实现个性化学习的问题,提出了基于贝叶斯方法和区间数多属性决策方法的适应性网络学习决策系统,并对该系统的结构、功能和实现的方法进行了初步说明。
This article on how to improve learner's learning efficiency, to achieve personalized learning problem, a Bayesian approach and interval multiple attribute decision making methods of adaptive learning decision-making system, and the system structure, function and methods to achieve a preliminary note.
出处
《电脑知识与技术》
2009年第11X期9161-9163,共3页
Computer Knowledge and Technology
关键词
学习决策系统
贝叶斯方法
区间数多属性决策
learning decision-making system
bayes network
interval multiple attribute decision making