计算机科学 ›› 2018, Vol. 45 ›› Issue (1): 79-83.doi: 10.11896/j.issn.1002-137X.2018.01.012
• CRSSC-CWI-CGrC-3WD 2017 • 上一篇 下一篇
马建敏,姚红娟,潘笑晨
MA Jian-min, YAO Hong-juan and PAN Xiao-chen
摘要: 经典的概率粗糙集模型是基于等价关系和条件概率提出的。但在实际应用中,知识库存在多种不确定性因素,使得对象间的关系未必满足等价关系。因此在保证条件概率有意义的情况下,将等价关系推广到串行二元关系,讨论了串行关系下的概率粗糙集近似;研究了当目标概念发生变化时,串行概率粗糙下、上近似的性质;进一步,通过调整两个阈值,给出了对应的串行概率粗糙下、上近似的变化趋势。
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