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A novel approach to fuzzy rough sets based on a fuzzy covering

机译:一种基于模糊覆盖的模糊粗糙集新方法

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摘要

This paper proposes an approach to fuzzy rough sets in the framework of lattice theory. The new model for fuzzy rough sets is based on the concepts of both fuzzy covering and binary fuzzy logical operators (fuzzy conjunction and fuzzy implication). The conjunction and implication are connected by using the complete lattice-based adjunction theory. With this theory, fuzzy rough approximation operators are generalized and fundamental properties of these operators are investigated. Particularly, comparative studies of the generalized fuzzy rough sets to the classical fuzzy rough sets and Pawlak rough set are carried out. It is shown that the generalized fuzzy rough sets are an extension of the classical fuzzy rough sets as well as a fuzzification of the Pawlak rough set within the framework of complete lattices. A link between the general-ized fuzzy rough approximation operators and fundamental morphological operators is presented in a translation-invariant additive group. (c) 2006 Elsevier Inc. All rights reserved.
机译:本文提出了一种在格论框架下的模糊粗糙集方法。模糊粗糙集的新模型基于模糊覆盖和二元模糊逻辑算子(模糊合取和模糊蕴涵)的概念。通过使用完整的基于格的附加理论将连接和蕴涵联系起来。利用该理论,对模糊粗糙近似算子进行了推广,并研究了这些算子的基本性质。特别地,对广义模糊粗糙集与经典模糊粗糙集和Pawlak粗糙集进行了比较研究。结果表明,广义模糊粗糙集是经典模糊粗糙集的扩展,也是完整格框架内Pawlak粗糙集的模糊化。在平移不变加性组中,给出了广义模糊粗糙近似算子与基本形态算子之间的联系。 (c)2006 Elsevier Inc.保留所有权利。

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