THE FUSION ESTIMATING ALGORITHM OF HYDROPHOBIC LEVEL BASED ON D-S EVIDENCE THEORY

摘要：

A fusion decision algorithm of hydrophobic level is proposed according to the analysis of D-S evidence theory. The area, shape and analysis of hydrophobicity are considered as the characteristics of the three classifiers, and then the basic probability assignment function is calculated by adopting fuzzy rules. The results of the three classifiers are estimated using the composite law of D-S evidence theory. Experiment results show that the method can improve the accuracy and reliability of hydrophobic level identification effectively, and meet the needs of on-line hydrophobic monitoring.

关键词： D-S evidence theory hydrophobicity information fusion fuzzy membership

作者: Yi Sun Qin Li Liangrui Tang Qiuxia Yang

作者单位: School of Electrical and Electronic EngineeringNorth China Electric Power University, Beijing, China School of Electrical and Electronic Engineering North China Electric Power University, Beijing, Chin

会议类型: 国际会议

会议名称: 2010 3rd IEEE International Conference on Broadband Network & Multimedia Technology(2010年第三届IEEE宽带网络与多媒体国际会议 IC-BNMT 2010)

会议地点: 北京

会议语种:英文

页码: 860-864

在线出版日期: 2010-10-26（万方平台首次上网日期，不代表论文的发表时间）