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基于直觉模糊的双误差“逻辑与”多粒度粗糙集

Multi Granularity Rough Set of Double Error “Logic Conjunction” Based on Intuitionistic Fuzzy

  • 摘要: 在直觉模糊信息系统下,同时考虑相对和绝对的双误差,研究变精度与程度的“逻辑与”粗糙集,提出基于直觉模糊的变精度与程度“逻辑与”乐观多粒度和悲观多粒度粗糙集的上下近似集定义。在此基础上,定义一种新型二进制矩阵来计算多粒度粗糙集的上下近似集,并提出通过矩阵计算上下近似集的若干理论,最后通过案例分析验证所提理论的正确性。

     

    Abstract: In the intuitionistic fuzzy information system, considering the relative and absolute double errors, the variable precision and degree "logic conjunction" rough set were studied. Based on intuitionistic fuzzy, the upper and lower approximate definitions of variable precision and degree "logic conjunction" optimistic multi granularity and pessimistic multi granularity rough set were proposed respectively. On this basis, a new binary matrix was defined to calculate the upper and lower approximate sets of multi granularity rough set, and some theories of computing upper and lower approximation by matrix sets were proposed. Finally, the correctness of the theories was verified by case analysis.

     

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