A New Fast Combination Method of Conflict Evidences Based on Model Modification

作者：Zhu Jing^*; Zhang Cheng jun; Hu Li fang; Zheng Yi cheng

来源：4th International Conference on Manufacturing Science and Engineering (ICMSE 2013), 2013-03-30 to 2013-03-31.

DOI：10.4028/www.scientific.net/AMR.694-697.2835

• belief function theory
• information fusion
• conflict evidence
• the Dempster rule of combination
• model modification

In the belief function theory, the combination of highly conflicting evidences is a research focus, and the key lies in both the rationality and timeliness of combination method. This paper analyzes deeply the existing strategy of model modification, and puts forward a new rapid evidence synthesis method based on model modification. The average evidence of weighted combination on mean evidence is firstly given, then fast combination on pignistic transformation can be realized. Thus the BBM accordance with the principle of proportion redistribution is got. This method has the advantage of Murphy's method, and overcomes the large calculation problems at the same time. Compared with other methods, the new method is more effective to solve the combination problem of highly conflicting evidences, and has fast convergence speed, small computational complexity, and higher practical application value.

• 出版日期2013
• 单位清华大学