Information System Hierarchical Fuzzy Evaluation Based on Bottom Index Clustering

摘要：

When the information system risk is evaluated, it is of great importance to take various factors into account. Hierarchical fuzzy evaluation is a relatively valid method. However there is a great deal of difficulty in this algorithm. Therefore hierarchical fuzzy evaluation method based on bottom index clustering was introduced to assess information system in this paper. According to the attributes of the bottom indexes, atomic risk events of information system were clustered to calculate risk value of the bottom index. Then, use analytic hierarchy process to calculate the relative weight in every level of information system. Through these steps above, the comprehensive risk value of information system could be calculated by fuzzy logic method. The algorithm can solve the difficulty in combination evaluation practice and theoretical models preferably. It is more objective, effective and feasible than before.

关键词： Information system risk evaluation bottom index clustering FAHP

作者: Leilei Liu Shiping Yang

作者单位: College of Computer Science and Information Guizhou University Guiyang,Guizhou Province,China Ming De College Guizhou University Guiyang,Guizhou Province,China

会议类型: 国际会议

会议名称: 2010 IEEE信息与自动化国际会议(ICIA 2010)

会议地点: 哈尔滨

会议语种:英文

页码: 1-6

在线出版日期: 2010-06-20（万方平台首次上网日期，不代表论文的发表时间）