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讨论了空值的有关问题 ,并在基于粗集理论的知识表达系统中引入空值 ,提出了知识表达系统中空值的分类处理 ,并给出了分类处理的算法 ,从而为在表示知识的元组信息不完整的情况下 ,充分利用空值的有用信息 ,为决策者处理不同层次上的参考信息提供了重要思路
Discusses the related problems of null values and introduces null values into the knowledge representation system based on rough sets theory. It puts forward the classification of hollow value in knowledge representation system and gives the algorithm of classification processing, In the case of incomplete group information, making full use of the useful information of null value provides an important idea for decision makers to process reference information at different levels