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Beta-convergence Theory of L-fuzzy Nets and its Applications

机译:L-模糊网的贝塔收敛理论及其应用

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The convergence theory not only is a significantly basic theory of fuzzy topology and fuzzy analysis but also has wide applications in fuzzy inference and some other aspects. In this paper, the present author introduces the concept of β-remoted neighborhood of fuzzy points, establishes the Moore-Smith β-convergence theory of L-fuzzy net and discusses the applications ofβ-convergence of L-fuzzy nets.
机译:收敛理论不仅是模糊拓扑和模糊分析的重要基础理论,而且在模糊推理等方面有着广泛的应用。在本文中,作者介绍了模糊点的β-远端邻域的概念,建立了L-模糊网络的Moore-Smithβ-收敛理论,并讨论了L-模糊网络的β-收敛的应用。

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