基于推理的组卷数学建模及其应用

Mathematical Modeling in Composing Test Paper Based on Reasoning and Its Application

针对多目标约束空间优化的组卷问题,采用目标参数降维和推理技术相结合的方法,提出一种推理匹配组卷数学模型,该模型具有动态规则库设计免维护、推理抽题满足用户主动参与组卷等特点,能够提高试卷的实用性,并可有效避免后续遗传算法组卷早熟现象。

Aiming at the problem of Composing Test Paper（CTP） by using optimization of multi-objective constrained space, a CTP mathematical model is proposed to match the test parameters through reasoning, which is established by way of combining the target parameters dimensionality reduction with reasoning technology. The model has the design of maintenance-free rule base by forming dynamic rules and the advantages of the active participation of users in the course of CTP by reasoning, which can improve the practicality of test papers and effectively prevent premature convergence of CTP in genetic algorithm.