摘要
概率粗糙集模型能充分利用近似边界区域提供的统计信息,并能对给定概念一个更完整的刻画,因而可以提取带有确定性因子的决策规则,笔者将改进的基于信息熵的属性约简算法应用于概率粗糙集模型中,并将此模型应用到电路控制系统中,得到了较好的效果。
The model of probability rough set can take full advantage of the border regions of similar statistical information,and given the concept of a more complete portrait,then we can extract with an uncertainty factor of the decision-making rules. The attribute reduction algorithm based on information entropy is applied to the probability of rough set model by the writer,this model will be applied to the circuit control system and obtained good results.
出处
《电脑知识与技术（过刊）》
2010年第7X期5577-5578,5592,共3页
Computer Knowledge and Technology
关键词
概率粗糙集
信息熵
电路控制系统
probability rough set
information entropy
circuit control system
