摘要
提出了一种基于决策目标的知识获取的新方法。在知识获取过程中以决策目标为核心,能够最大限度地发现样本的共性,生成的决策系统正确率高、决策力强。通过实验1和实验2充分论证了算法的有效性及条件属性约简与离散化的重要性。
Propose a novel approach of knowledge acquisition based on decision objective（KABDO）.The KABDO approach given in this paper can find the fullest extent of the commonness of samples on the basis of decision objective during knowledge acquisition.It generates minimum decision rules and has high decision-making ability.The reasonability of the KABDO algorithm is fully demonstrated by experiments.The significance of attribute reduction and discretization is further testified,too.
出处
《科技通报》
北大核心
2012年第12期78-80,84,共4页
Bulletin of Science and Technology
基金
吉林省教育厅科技计划基金资助项目(2007172
2010383
2012481)
吉林省科技厅科技发展计划项目(20115056)
吉林师范大学硕博启动基金
关键词
知识获取
属性离散化
决策目标
属性约简
knowledge acquisition
attribute discretization
decision objective
attribute reduction
