Comprehensive Evaluation of Automatic Test System Based on Neural Net and Cloud Model

摘要：

Because the traditional evaluation of the Automatic Test System (ATS) just considered the fuzzification of the evaluation index, and ignored the randomicity and indetermination of the index, so a new method based on neural net and cloud model is proposed to solve the problem. An ameliorated neural net algorithm is used to get the weight of the index. Cloud model is used to express the quantificational data with qualitative index, and the fuzzification, randomicity and indetermination of the index are considered in the model. The experiment results show that its feasible and effective in the comprehensive evaluation of ATS.

关键词： comprehensive evaluation cloud model neural net fuzzification and randomicity indetermination

作者: Huayong XIE Mingqing XIAO Hang YU Hongwei HUANG

作者单位: The Engineering College, Air Force Engineering University,710038, Xian, Shanxi, China

会议类型: 国际会议

会议名称: The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

会议地点: 太原

会议语种:英文

页码: 487-492

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）