智能题库的模糊设计与分析

Design and Analysis of an Intelligent Question Database Based on Fuzzy Logic

本文对影响试卷内容难度的要素进行了系统的分析 ,采用模糊方法对试题内容难度进行统计评价 ,以模糊变换理论对多个相关要素加以综合考虑 ,引入隶属度来表述它们对试卷难度的影响程度 ,并以此确定影响试卷难度的主要要素。这种方法提高了现有标准化试题库的智能性、灵活性和可靠性 ,进而增强了它们的适用性。

In this paper, factors dominating the difficulty of examination questions are systematically analyzed. In light of the fuzzy computation theory, it makes a comprehensive study on those factors. It further describes the effects of those factors on difficulty of examination questions by introducing subjection degree and then determines which of them are the main factors. Through such a process, intellectuality, flexibility and reliability of the question databases for standardized examinations could be improved, which leads to better adaptability.