Within the framework of Dempster Shafer theory of evidence,a combination rule based on proportional belief assignment is presented in order to solve conflict evidence combination in identification fusion.

The combination of conflicting evidences has been one of the important issues in Dempster-Shafer theory since the example of Zadeh paradox produced by Dempsters rule of combination was found.

New combination approach based on creditability function for conflict evidences;

Research on fusion of conflict evidence;

New approach for solving conflict evidence

Efficient fusion approach for conflicting evidence;

A conflicting evidence combination algorithm based on reliability and coherence intensity

Efficient fusion approach for conflicting evidence

Simulation results showed that this method can process conflicting evidences and more effectively compared to other methods.

This paper discusses several ways to utilize conflicting evidences, and on the basis of them, it presents a new combination rules.

To solve this problem, this paper presents a new method to verify and modify the conflicting evidences.

To overcome the shortcomings of conventional measure criterion of evidence conflict and solve the invalidation problem of Dempster-Shafer evidence combination rule with high conflict,a novel measure criterion of evidence conflict is defined through pignistic transformation.