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The Algorithms of Constructing Concept Lattices Based On CAT With Cognitive Diagnosis

机译:基于认知诊断的猫构建概念格子的算法

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Constructing concept lattices plays an important role in Formal Concept Analysis. At present, cognitive diagnosis is a focus for researchers, and Computerized Adaptive Testing (CAT) with cognitive diagnosis is prospected but there are few relevant researches. Form Concept Analysis(FCA) can be applied into CAT, and the concept lattices for CAT are theoretically served as a learning model for examinees in CAT with cognitive diagnosis. Considering the attribute hierarchy, the algorithm of constructing concept lattices for CAT is given and discussed in detail, which is proved theoretically.
机译:构建概念格子在正式的概念分析中起着重要作用。目前,认知诊断是研究人员的重点,并展望具有认知诊断的计算机化自适应测试(CAT),但仍有很少的相关研究。形成概念分析(FCA)可以应用于CAT中,并且猫的概念格子理论上是用认知诊断的猫考试的学习模型。考虑到属性层次结构,详细给出并详细讨论了构建猫概念格的算法,从理论上证明了这一点。

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