计算机科学 ›› 2017, Vol. 44 ›› Issue (9): 88-92.doi: 10.11896/j.issn.1002-137X.2017.09.018
• CRSSC-CWI-CGrC 2016 • 上一篇 下一篇
张晓燕,桑彬彬,魏玲
ZHANG Xiao-yan, SANG Bin-bin and WEI Ling
摘要： 在格值信息系统中引入知识粗糙熵、粗集粗糙熵与不确定度量的概念,得到了相应的重要性质。证明了在格值信息系统中,知识粗糙熵随着知识颗粒变大、分类变粗而单调增大,或者随着知识颗粒变小、分类变细而单调减小。进一步通过讨论它们之间的联系说明了粗集的粗糙熵可以更精确地度量粗集的粗糙程度。这些结论为格值信息系统的知识发现奠定了一定的理论基础。
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