Multi-sensors Data Fusion Algorithm of Improved Dempster-Shafer Evidence Reasoning

摘要：

An improved multi-sensor data fusion algorithm based on Dempster-Shafer evidence theory and a criterion of the object evaluation are presented in this paper. The algorithm and the criterion investigate the monitor data of the indoor air that is the research object, and evaluate the quality grade of the indoor air. Experiment shows that the improved multiSensor data fusion algorithm based on the DempsterShafer reasoning and the resulting evaluations are correct and solve the uncertainty problem which is produced in the multisensor information process.

关键词： improved Dempster-Shafer evidence reasoning data fusion algorithm multi-sensors

作者: WANG Ming-fang ZHUMing-e YU Shao-jun

作者单位: School of Computer Science & Technology Central South University of Forestry and Technology Changsha, 410004, China

会议类型: 国际会议

会议名称: 2010 International Conference on Signal and Information Processing(2010年IEEE信号与信息处理国际会议 ICSIP2010)

会议地点: 长沙

会议语种:英文

页码: 212-214

在线出版日期: 2010-12-14（万方平台首次上网日期，不代表论文的发表时间）