摘要
当先验概率和代价函数均为模糊时,基于贝叶斯最小风险准则研究分布式检测融合的算法,并讲座了算法的简化。这种算法更符合实际情况。仿真结果说明该方法是可行和有效的。
When fuzzy priori probabilities and price function are fuzzy,the algorithm of distributed detection fusion based on Bayes' minimum risk rule, and the algorithm's simplificition is discussed. This kind of algorithm more matches the actual circumstances. Simulation results shows that this method is feasible and effective.
出处
《计算机测量与控制》
CSCD
2004年第3期220-222,共3页
Computer Measurement &Control
关键词
多传感器信息融合
分布式检测融合
模糊先验概率
模糊代价函数
算法
multisensor data fusion
distributed detection fusion
fuzzy previously tests probability
fuzzy price function
Algorithms.
