D-S证据合成公式存在着一些不足,针对在计算冲突过大问题上容易出现与人们正常判断标准相悖的问题,文中提出了一种基于信息熵理论的新方法,利用证据数据焦元的差异度来取代证据理论中的冲突因子,结合信息熵理论重新确定焦元所占的比重,对证据进行加权处理,在加权处理过程中应用到指数熵的概念,解决了计算中容易出现不收敛的现象。通过与几种算法进行比较,得出文中算法在处理证据冲突、一票否决问题上的优越性。

D-S evidence synthesis formula has some insufficiencies,a new method based on information entropy theory was presented to focus on the conflict between original theory and peoplés normal judgment when the theory was used to solve problems with o-versized conflict. In the paper, a method of using the difference of evidence data to substitute conflict factor in evidence theory was proposed with information entropy theory to determine the proportion of focal elements. During the process of weighting the evidence, the concept of exponent entropy was used to solve the problem of convergence. The method proposed in this article emphasized its superiority compared with other algorithms on matters of processing evidence conflict and one vote veto system.