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DS
- 证据理论的基本原理的论文资料 证据理论采用信度的“半可加性”原则，较好地对不确定性推理问题中主、客观性之间的矛盾进行了折衷处理。而且，证据理论下先验概率的获得比主观Bayes方法要容易得多，已经成为构造具有更强的不确定性处理能力专家系统的一种有效手段。 -he basic principles of evidence theory papers information
seng-V5.1
- D-S证据理论数据融合，基于小波变换的数字水印算法matlab代码，使用大量的有限元法求解偏微分方程。- D-S evidence theory data fusion, Based on wavelet transform digital watermarking algorithm matlab code, Using a large number of finite element method to solve partial differential equations.
hehtt
- 仿真效果非常好，用MATLAB编写的遗传算法路径规划，D-S证据理论数据融合。- Simulation of the effect is very good, Genetic algorithms using MATLAB path planning, D-S evidence theory data fusion.
yuqfb
- D-S证据理论数据融合，旋转机械二维全息谱计算，对于初学matlab的同学会有帮助。- D-S evidence theory data fusion, Rotating machinery 2-d holographic spectrum calculation, Matlab for beginner students will help.
DS_Fusion
- 证据理论合成规则，能很好地处理不确定信息(The rules of Dempster synthesis can deal with uncertain information well)