证据理论和模糊神经网络相结合的决策方法

Decision analysis by Fuzzy Neural Network and Evidence Theory

针对图像识别中图像的特征信息,排除不确定因素的影响,提出了基于模糊神经网络和D-S证据理论的数据融合算法,并对图像识别为例进行了实例分析,验证了该方法的准确性。该方法先对输入图像进行数据分析,采用T-S模糊神经网络进行处理,再用D-S证据理论执行决策分析,最终得到识别精度较高的有效结果。

To Feature Information in photo recognition,excluding the impact of uncertainties,based on the fuzzy neural network and the D-S evidence theory,this paper proposes data fusion algorithm,and testifies to its accuracy by analyzing the pattern recognition.This method first analyzes the photo data,and uses T-S fuzzy neural network to process them,then uses the D-S evidence theory to make decision analysis,ultimately,obtains effective result with highly precise recognition.