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Possibility and Necessity Measures in Dominance-based Rough Set Approach

机译:基于优势的粗糙集方法的可能性和必要性措施

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Dominance-based rough set approach is an extension of the basic rough set approach proposed by Pawlak, to multicriteria classification problems. In this paper, the dominance-based rough set approach is considered in the context of vague information on preferences and decision classes. The vagueness is handled by possibility and necessity measures defined using modifiers of fuzzy sets. Due to this way of handling the vagueness, the lower and upper approximations of preference-ordered decision classes are fuzzy sets whose membership functions are necessity and possibility measures, respectively.
机译:基于优势的粗糙集方法是Pawlak提出的基本粗糙集方法的扩展,以多轨道分类问题。 在本文中,在关于偏好和决策类的模糊信息的背景下考虑了基于优势的粗糙集方法。 模糊性通过使用模糊集的修饰符定义的可能性和必要性措施来处理。 由于这种方法来处理模糊性,优先订购的决策类的较低和上近似是模糊集,其隶属函数分别是必要性和可能性测量。

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