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A fuzzy covering-based rough set model and its generalization over fuzzy lattice

机译:基于模糊覆盖的粗糙集模型及其在模糊格上的推广

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In this paper, we study a new type of fuzzy covering-based rough set model by introducing the notion of fuzzy, beta-minimal description. We mainly address the following issues in this paper. First, we present the definition of fuzzy beta-minimal description and study its properties. Then, we define a novel type of fuzzy covering-based rough set model and investigate the properties of this model. Furthermore, the axiomizations and matrix representations of the fuzzy covering lower and fuzzy covering upper approximations are the vital problems we investigate in this paper. Moreover, we explore the conditions under which two fuzzy beta-coverings generate the same fuzzy covering lower or fuzzy covering upper approximations. Finally, we generalize the model to L-fuzzy covering-based rough set which is defined over fuzzy lattices. Similar to the fuzzy covering-based rough set model, we also address the issues mentioned above to the L-fuzzy covering-based rough set. (C) 2016 Elsevier Inc. All rights reserved.
机译:在本文中,我们通过引入模糊,β最小描述的概念来研究一种新型的基于模糊覆盖的粗糙集模型。我们主要解决本文中的以下问题。首先,我们介绍了模糊β最小描述的定义,并研究了其性质。然后,我们定义了一种新型的基于模糊覆盖的粗糙集模型,并研究了该模型的性质。此外,模糊覆盖下近似和模糊覆盖上近似的公理化和矩阵表示是本文研究的重要问题。此外,我们探索了两个模糊β覆盖产生相同的模糊覆盖下近似或模糊覆盖上近似的条件。最后,我们将模型推广到基于L-fuzzy覆盖的粗糙集,该粗糙集是在模糊格上定义的。类似于基于模糊覆盖的粗糙集模型,我们还解决了基于L-模糊覆盖的粗糙集的上述问题。 (C)2016 Elsevier Inc.保留所有权利。

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