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粗糙依赖约简技术在网络课程评价中的研究
引用本文:朱振玉,王瑞红,马甲军. 粗糙依赖约简技术在网络课程评价中的研究[J]. 佳木斯大学学报, 2009, 27(2)
作者姓名:朱振玉  王瑞红  马甲军
作者单位:黑龙江科技学院计算机与信息工程学院,黑龙江,哈尔滨,150027;黑龙江科技学院计算机与信息工程学院,黑龙江,哈尔滨,150027;黑龙江科技学院计算机与信息工程学院,黑龙江,哈尔滨,150027
基金项目:黑龙江省教育厅科学技术研究项目,黑龙江省教育厅科学技术研究项目 
摘    要:介绍了粗糙集的概念和约简的相关定义,提出了基于粗糙依赖的属性约简算法.通过差别矩阵求核,并计算非核属性粗糙依赖值,从而确定相对属性约简.以远程教学网络课程等级评价为例进行算法验证,并通过基于值核的值约简算法提取决策规则,实践证明得到了满意的结果.

关 键 词:粗糙集  粗糙依赖  约简  课程评价

Study of Rough Dependency Reduction Technology in Network Course Estimate
ZHU Zhen-yu,WANG Rui-hong,MA Jia-jun. Study of Rough Dependency Reduction Technology in Network Course Estimate[J]. Journal of Jiamusi University(Natural Science Edition), 2009, 27(2)
Authors:ZHU Zhen-yu  WANG Rui-hong  MA Jia-jun
Affiliation:Computer and Information Engineering School;Heilongjiang Institute of Science and Technology;Harbin 150027;China
Abstract:This concept of rough sets and definitions of reduction were introduced.A reduction algorithm based on rough dependency was proposed.The core was gained by the discernable matrix,and rough dependency of non-core attribute was calculated in order to get the relative attribute reduction.It's verified through the example of remote education network course degree estimation.And the decision rules through value reduction based on value core were extracted.The result is satisfactory.
Keywords:rough sets  rough dependency  reduction  course estimation  
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