Information fusion based on addition of unascertained rational numbers for recognization of spatial point targets

A new uncertain information model, i.e. unascertainment, which is different from randomness, fuzziness and grayness, has been introduced into information fusion to give a reasoning method, which is based on addition of unascertained rational number and can be used to recognize spatial point targets. The validity of the method proposed is verified through an example.     

一种加权改进的D-S证据推理算法

利用证据推理方法处理不确定问题具有强大的优势,但由于它不能处理矛盾证据,这在很大程度上限制了它在实际中的应用.对D-S证据推理的算法进行了改进.改进后的D-S证据推理算法可以有效地处理矛盾证据,取得比较理想、比较合理的融合结果.最后,通过仿真试验对该方法进行了验证.     

基于Mathematica的线性方程组的算法实现

分析了线性方程组在线性代数中的地位；提出了求解线性方程组的解的算法，并用Mathematica软件对该算法加以实现。同时通过实例分析了线性方程组的解的其他情况的实现和在对算法的实现过程中解的其他信息的获取方式。