机译:基于证据证据理论的不确定标签针织物疵点分类
Faculty of Electrical and Computer Engineering, Babol University of Technology, Babol, Iran,School of Cognitive Sciences, Institute for Research in Fundamental Sciences (IPM), Niavaran, P.O. Box 19395-5746, Tehran, Iran;
Faculty of Electrical and Computer Engineering, Babol University of Technology, Babol, Iran;
School of Cognitive Sciences, Institute for Research in Fundamental Sciences (IPM), Niavaran, P.O. Box 19395-5746, Tehran, Iran,Brain and Intelligent Systems Research Lab, Department of Electrical and Computer Engineering, Shahid Rajaee Teacher Training University, Tehran, Iran;
theory of evidence; uncertainty in labels; wavelet transform; k-nearest neighbors; MLP neural network; circular knitted fabric defect;
机译:基于分析层次过程和Dempster-Shafer证据理论的焊接缺陷分类
机译:不确定主观信息约束下基于证据证据理论的决策方法
机译:基于Dempster-Shafer证据理论的振动和声学信号分类器融合,用于行星齿轮的故障诊断和分类
机译:基于Dempster-Shafer证据理论的多光谱/高光谱图像目标分类方法
机译:一种基于Dempster-Shafer证据理论的森林覆盖分类算法的证据收集和评估技术。
机译:基于Dempster-Shafer证据理论预测药物相互作用的集成局部分类模型
机译:使用Gabor小波的纬纱针织织物缺陷的检测和分类
机译:模糊集,粗糙集和建模证据:理论与应用。一种基于Dempster-shafer的方法,用于在产品选择中使用多属性来决策制定