火力与指挥控制2018，Vol.43Issue(1)：37-42,6.DOI:10.3969/j.issn.1002-0640.2018.01.008
基于灰色粗糙集的指标筛选方法
Research on Approach of Evaluation Index Screening Based on Grey Rough Set
摘要
Abstract
For the problem of traditional index screening methods are poor applicability and strong subjectivity,as well as a large number of test data,a new index screening method of the combination of rough set and grey relational cluster theory are proposed. Using grey cluster theory instead of equivalence relations of classical rough set classification method solved the question that the classical attribute reduction of rough set only applies to the problem of discrete data. The statistics method is used to solve the question that the grey clustering critical value is difficult to be determined,and this method are complementary to achieve the effective screening of the evaluation index. Finally,though the evaluation index system of integrated command system as an example,the rationality and validity of the method are verified.关键词
粗糙集/灰色关联度/灰色聚类临界值/统计量Key words
rough set/grey relational/grey clustering critical/statistics分类
信息技术与安全科学引用本文复制引用
路云飞,李琳琳,张壮..基于灰色粗糙集的指标筛选方法[J].火力与指挥控制,2018,43(1):37-42,6.基金项目
国家"863"计划重点基金资助项目(2012AA7010213) （2012AA7010213）
