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首页> 外文期刊>Mathematical Problems in Engineering: Theory, Methods and Applications >Rough Set Approach to Approximation Reduction in Ordered Decision Table with Fuzzy Decision
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Rough Set Approach to Approximation Reduction in Ordered Decision Table with Fuzzy Decision

机译：带有模糊决策的有序决策表中约简的粗糙集方法

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In practice, some of information systems are based on dominance relations, andvalues of decision attribute are fuzzy. So, it is meaningful to study attribute reductions inordered decision tables with fuzzy decision. In this paper, upper and lower approximationreductions are proposed in this kind of complicated decision table, respectively. Some importantproperties are discussed. The judgement theorems and discernibility matrices associatedwith two reductions are obtained from which the theory of attribute reductions is providedin ordered decision tables with fuzzy decision. Moreover, rough set approach to upper andlower approximation reductions is presented in ordered decision tables with fuzzy decisionas well. An example illustrates the validity of the approach, and results show that it is an efficienttool for knowledge discovery in ordered decision tables with fuzzy decision.
机译：实际上，一些信息系统是基于优势关系的，决策属性的值是模糊的。因此，研究具有模糊决策的属性约简有序决策表具有重要意义。在这种复杂决策表中，分别提出了上下近似的约简方法。讨论了一些重要的属性。得到了与两个约简相关的判断定理和判别矩阵，从中给出了具有模糊决策的有序决策表中的属性约简理论。此外，在具有模糊决策的有序决策表中，也提出了上下近似逼近的粗糙集方法。一个例子说明了该方法的有效性，结果表明，它是一种有效的工具，用于在有模糊决策的有序决策表中进行知识发现。

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