Vague Sets Based Evidence Combinational Rule With Generalized Belief Function

摘要：

In this paper, a new vague evidence theory is proposed to expand the conventional evidence theory. First, the concept of vague evidence theory is introduced. Based on the features of vague sets, a belief function is formulated, and its characteristics is analyzed and proved mathematically. After that, based on the degree of similarity in vague sets, the relative contribution to the combined vague sets is obtained, and a vague sets based combinational rule is formulated. Finally, experiments are conducted to demonstrate the effectiveness of the proposed vague evidence theory. The proposed vague evidence theory based method is capable of representing and processing problems with vagueness, uncertainties and imprecision.

关键词： Vague sets. Evidence theory. Belief function.

作者: Lizhong Xu Zhigui Lin Simon X.Yang

作者单位: College of Computer and Information Engineering Hohai University Nanjing, 210098,China Advanced Robotics and Intelligent Systems (ARIS) Lab, School of Engineering University of Guelph Gue

会议类型: 国际会议

会议名称: 2006 IEEE International Conference on Information Acquisition

会议地点: 山东威海

会议语种:英文

页码: 764-769

在线出版日期: 2006-08-20（万方平台首次上网日期，不代表论文的发表时间）