| 基于目标树的组卷算法的研究 |
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| 引用本文： | 毛秉毅. 基于目标树的组卷算法的研究[J]. 计算机工程与应用, 2002, 38(23): 245-247 |
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| 作者姓名： | 毛秉毅 |
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| 作者单位： | 燕山大学信息科学与工程学院,秦皇岛,066004 |
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| 摘 要： | 该文首先分析了当前试题库组卷算法中常用的随机、回溯算法,以及出题策略。基于目标树和数据仓库原理提出了一种新的组卷算法。算法通过利用组卷策略,生成满足组卷要求和考试要求的目标树,然后从题库中抽取符合目标树的试题集。由于决策的对象是试题的抽象描述,克服了直接在数据库基础上进行组卷带来的灵活性差、效率低的缺点,具有较大的优越性。
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| 关 键 词： | 专家系统 智能组卷 数据仓库 智能决策 目标树 ICAI |
| 文章编号： | 1002-8331-(2002)23-0245-03 |
| 修稿时间： | 2001-11-01 |
An Intelligent Test Combination Algorithm of Test-sheets Based on Target Tree |
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| Mao Bingyi. An Intelligent Test Combination Algorithm of Test-sheets Based on Target Tree[J]. Computer Engineering and Applications, 2002, 38(23): 245-247 |
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| Authors: | Mao Bingyi |
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| Abstract: | This paper begins with the analysis of the existing algorithms for generating test-sheets and their generating tactics.On the base of Target trees and Data warehouse theory,the author developes a new test -sheets generating algorithm.In this algorithm,the author establishes an optimized target tree,under the direction of knowledge about test.This target tree indicates a good plan for a test in abstract language,and can be used to generate a test-sheets which can be used in classroom.This algorithm is efficient and fast. |
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| Keywords: | Expert system Intelligent test-sheets generating Data warehouse Intelligent decision-making Target tree ICAI |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
