魏利华, 唐振民, 丁辉, 杨习贝, 李燕林. 不完备区间值信息系统中的粗集理论[J]. 信息与控制, 2009, 38(3): 286-292.
引用本文: 魏利华, 唐振民, 丁辉, 杨习贝, 李燕林. 不完备区间值信息系统中的粗集理论[J]. 信息与控制, 2009, 38(3): 286-292.
WEI Li-hua, TANG Zhen-min, DING Hui, YANG Xi-bei, LI Yan-lin. Rough Set Theory in Incomplete Interval-valued Information System[J]. INFORMATION AND CONTROL, 2009, 38(3): 286-292.
Citation: WEI Li-hua, TANG Zhen-min, DING Hui, YANG Xi-bei, LI Yan-lin. Rough Set Theory in Incomplete Interval-valued Information System[J]. INFORMATION AND CONTROL, 2009, 38(3): 286-292.

不完备区间值信息系统中的粗集理论

Rough Set Theory in Incomplete Interval-valued Information System

  • 摘要: 针对不完备区间值信息系统,提出了一种用于分类的偏序关系,并给出了计算这种偏序关系约简的实际操作方法.在不完备区间值决策系统中,根据基于偏序关系的粗糙集模型,引入了上、下近似约简的概念.上、下近似约简是保持所有决策类的下、上近似都不发生变化的最小属性子集,借此获取简化的决策规则.

     

    Abstract: A partial ordering relation is presented in the incomplete interval-valued information system(IIIS) with the purpose of classification,and practical approaches are given to reduce the partial ordering relation.Then a rough set model based on the partial ordering relationship can be constructed and the concepts of lower and upper approximate reduction are introduced into the incomplete interval-valued decision system(IIDS).These two types of reduction are minimal subsets of the attributes,which can preserve the lower and upper approximations of all decision classes respectively.With these reductions,the simplified decision rules can be obtained.

     

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