基于粗糙集属性重要度的信息系统综合评价方法

The Evaluation Method of Information System Based on Importance Degree of Rough Set

利用粗糙集理论中的属性约简算法对信息系统评价的指标进行约简,提取影响信息系统综合评价的主要指标,然后根据属性重要度理论对约简后的指标体系进行赋权,对各方案进行综合评价.在信息系统中使用粗糙集属性约简理论,在知识获取之前能减少大量包含较少或几乎不包含什么信息量的冗余属性,将大大简化知识库结构的复杂度,提高人们对隐含在知识库庞大数据量下的各种信息的认识程度.

This study adopts the method of attribute reduction in rough set theory to reduce ap- praisal indicators of information system. We identified the main indicators which affect the over-all evaluation of information system, empowered the reduced indicator system based on the theory of attribute importance and gave an overall appraisal of the various plans. The adoption of rough set theory of attribute reduction in information system proved to be beneficial to the reduction of a large number of redundant attributes with little information. It is expected to simplify the complex structure of the knowledge base and to enhance people ＇ s understanding of information implied in the huge data.