计算机科学 ›› 2017, Vol. 44 ›› Issue (1): 84-89.doi: 10.11896/j.issn.1002-137X.2017.01.016
李明霞,刘保相,张春英
LI Ming-xia, LIU Bao-xiang and ZHANG Chun-ying
摘要： 区间概念格理论是在区间参数基础上提出的一种新的对象挖掘方法,它能够更精确地处理不确定信息。区间参数[α,β]决定了区间概念和格结构,进而对提取的决策准则产生影响。为了解决区间参数优化问题,首先将区间概念格与三支决策粗糙集理论相结合,提出了三支决策空间理论；然后在此基础上将区间概念外延划分为3个域:正域、边界域和负域,并给出了基于区间概念格的三支决策规则与决策损失函数,通过调整区间参数寻找更加可靠的决策准则,从而优化区间参数；最后通过实例对模型进行验证。
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