一种基于Dempster-Shafer理论的分类器组合算法 2. The uncertainty measures corresponding to each output of each base classifier are induced from the established decision tables (DTs) in the form of mass function in the Dempster-Shafer theory (DST). 进而基于广义粗集模型和Dempster-Shafer理论(DST)构造...
一种基于Dempster-Shafer理论的分类器组合算法 2. The uncertainty measures corresponding to each output of each base classifier are induced from the established decision tables (DTs) in the form of mass function in the Dempster-Shafer theory (DST). 进而基于广义粗集模型和Dempster-Shafer理论(DST)构造...
一种基于Dempster-Shafer理论的分类器组合算法 2. The uncertainty measures corresponding to each output of each base classifier are induced from the established decision tables (DTs) in the form of mass function in the Dempster-Shafer theory (DST). 进而基于广义粗集模型和Dempster-Shafer理论(DST)构造...
证据理论是Dempster于1967年首先提出，由他的学生Shafer于1976年进一步发展起来的一种不精确推理理论，也称为Dempster/Shafer 证据理论(D-S证据理论)，属于人工智能范畴，最早应用于专家系统中，具有处理不确定信息的能力。作为一种不确定推理方法，证据理论的主要特点是：满足比贝叶斯概率论更弱的条件；具有直接表达“不...