A Selection Method of Evaluation Index for Uncertain Information System Based on Synthetic Algorithm

摘要：

Establishment of index system plays a crucial role in the course of uncertain information system evaluation. However, there is not a quantitative means on the problem of constructing the index system for uncertain information system. In order to solve these problems, a novel synthetic algorithm is put forward based on fuzzy set theory and grey relation analysis in this paper. Fuzzy membership degree is used to ascertain the importance of index by using of fuzzy set theory. At the same time, grey relation matrix is used to analysis the relativity of index. Moreover, the rationality and the dependability of index system are validated by using of validity coefficient and dependability coefficient. On base of it, the model of index selection is set up and applied in the index selection of alarm window on main control room of the nuclear power plant. Results of the case study prove that the proposed method is reasonable and feasible.

关键词： fuzzy set theory grey relation analysis index system uncertain information quantitative analysis

作者: Chunyan Xia Yanjie Liu Jiang chang Bing Yue

作者单位: College of Materials Science and Engineering Jiarnusi University Jiamusi 154007 China College of Architecture Engineering Heilongjiang University Harbin 150001 China College of Mechanical Engineering Jiamusi University Jiamusi 154007 China College of Computer Science Heilongjiang University Harbin 150001 China

会议类型: 国际会议

会议名称: The 2nd IEEE International Conference on Advanced Computer Control(第二届先进计算机控制国际会议 ICACC 2010)

会议地点: 沈阳

会议语种:英文

页码: 302-306

在线出版日期: 2010-03-27（万方平台首次上网日期，不代表论文的发表时间）