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Rough Sets by Indiscernibility Relations in Data Sets Containing Possibilistic Information

机译:粗糙集通过包含可能性信息的数据集中的难以辨认的关系

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Under data sets containing possibilistic information, rough sets are described by directly using indiscernibility relations. First, we give rough sets based on indiscernibility relations under complete information. Second, we address rough sets by applying possible world semantics to data sets with possibilistic information. The rough sets are used as a correctness criterion of approaches extended to deal with possibilistic information. Third, we extend the approach based on indiscernibility relations to handle data sets with possibilistic information. Rough sets in this extension creates the same results as ones obtained under possible world semantics. This gives justification to our extension.
机译:在包含可能性信息的数据集下,通过直接使用欺骗性关系来描述粗糙集。首先,我们基于完整信息下的难以辨认的关系提供粗糙集。其次,我们通过将可能的世界语义应用于具有可能性信息的数据集来解决粗糙集。粗糙集被用作扩展到可能性信息的方法的正确性标准。第三,我们基于欺骗性关系扩展方法,以处理具有可能性信息的数据集。此扩展中的粗糙集创建与在可能的世界语义中获得的结果相同的结果。这给我们的延期表示了理由。

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