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belief_NN
- A neural network classifier based on Dempster-Shafer theory
IPToolbox
- 这是一个国外的DST的Matlab工具箱，很全面的反映了dempster-shafer理论，是学习DST的权威工具箱
evidence-theory-conflict-factor-k
- 证据理论Dempster规则中冲突因子K的求取。自己编的哦！-DEMPSTER-SHAFER EVIDENCE THEORY K
IPPToolbox
- exemple Dempster shafer
smets
- dempster shafer fusion
Artificial-Intelligence-DEMPSTER-SHAFER
- Artificial Intelligence with DEMPSTER-SHAFER
DS_fusion
- DS证据，功能：融合x,y两行向量(经典Dempster-Shafer组合公式)-DS evidence features: integration of x, y two row vectors (classical Dempster-Shafer combination formula)
Dempster-Shafer
- 使用经典Dempster-Shafer组合公式融合x,y两行向量-fusion row vector x with row vector y using Dempster-Shafer
D_S证据理论C++源码
- DS 证据理论（Dempster-Shafer envidence theory）也称为DS理论。是一种处理不确定性问题的完整理论。它不仅能够强调事物的客观性，还能强调人类对事物估计的主观性，其最大的特点就是就是对不确定性信息的描述采用“区间估计”，而非“点估计”，再区分不知道和不确定方面以及精确反映证据收集方面显示出很大的灵活性。
Dempster-Shafer-master
- Support for normalized as well as unnormalized belief functions Different Monte-Carlo algorithms for combining belief functions Various methods related to the generalized Bayesian theorem Measures of uncertainty Methods for constructing belief fu
simple DS
- 经典证据理论融合公式，用于对两个数据源进行初级融合，效果较好(Dempster-Shafer.The fusion formula of classical evidence theory is used for primary fusion of two data sources, and the effect is good.)