论文部分内容阅读
量化非对称相似关系是处理不完备信息系统的重要工具之一.本文针对非对称关系中明显相似的对象分类不合理的问题,定义了动态量化非对称相似关系,提出带有自动阈值调节的动态量化非对称相似关系模型,根据实际数据自动确定其阈值,使之更加灵活和合理.并采用快速排序提高知识约简过程中相容类的计算效率.通过实例验证了该算法处理不完备知识约简的有效性.最后,应用该模型解决了地下空间信息化施工的不完备知识约简问题.
Quantify the asymmetric similarity is one of the important tools to deal with incomplete information system.In this paper, aiming at the problem of unreasonable object classification which is obviously similar in the asymmetric relationship, the dynamic quantitative asymmetric similarity is defined and the dynamic with threshold adjustment Quantify the model of asymmetric similarity, and automatically determine the threshold based on the actual data to make it more flexible and reasonable.With the rapid sorting, the computational efficiency of compatible classes in knowledge reduction process is improved.Examples show that the algorithm deals with incomplete knowledge about Finally, the application of this model solves the problem of incomplete knowledge reduction in the construction of underground space information.