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A rough set model based on fuzzifying neighborhood systems

机译:基于模糊邻域系统的粗糙集模型

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摘要

The notion of neighborhood systems is abstracted from the geometric notion of “near,” and it is primitive in the theory of topological spaces. Now, the notion of neighborhood systems has been extensively applied in the study of rough set. The notion of fuzzifying neighborhood systems is a fuzzification of the notion of neighborhood systems, and it is initially in the theory of fuzzifying topological spaces. Said briefly, each element x and each subset A of a universe are associated with a number in the unit interval, interpreted as the degree of A being a neighborhood of x. In this paper, a model of rough sets derived from fuzzifying neighborhood systems is developed. It is shown that this model unifies many well-known rough sets such as binary relation-based rough sets, covering-based rough sets and neighborhood system-based rough sets into one framework. The new rough sets are studied from two approaches: the constructive and axiomatic approaches. Furthermore, when the fuzzifying neighborhood system is serial, reflexive, unary, transitive, symmetric and Euclidean, then the corresponding rough sets are discussed and characterized, respectively. At last, the reduction theory of this rough set model is established.
机译:邻域系统的概念从“近”的几何概念抽象出来,它在拓扑空间理论中是原始的。现在,在粗糙集的研究中广泛应用了邻里系统的概念。模糊邻域系统的概念是邻域系统概念的模糊化,最初在模糊拓扑空间的理论中。简而言之,宇宙的每个元素x和每个子集A与单位间隔中的一个数字相关联,解释为x的邻域的程度。在本文中,开发了一种源自模糊邻域系统的粗糙集模型。结果表明,该模型统一了许多众所周知的粗糙集,例如基于二进制关系的粗糙集,基于覆盖的粗糙集和基于邻域系统的粗糙集合到一个框架中。从两种方法研究了新的粗糙集:建设性和公理方法。此外,当模糊邻域系统是串行的,反射,机会,传递,对称和欧几里德,然后讨论和表征相应的粗糙集。最后,建立了该粗糙集模型的减少理论。

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