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中文摘要：
为探索新的程度粗糙集拓展模型,基于程度的逻辑或需求,提出了程度上下近似算子的逻辑或运算模型。在该模型中,研究了程度上下近似算子的逻辑或运算的本质、基本结构与性质,提出了宏观算法与结构算法,进行了算法分析与比较,得到了结构算法比宏观算法更具空间优势的结论。最后用实例对程度上下近似算子的逻辑或运算模型及其算法进行了说明。
英文摘要：
In order to explore new improved graded rough set model,based on logic OR requirement of grade,it proposes model of logic OR operation of grade upper approximation operator and grade lower approximation operator. In the new model,essence,basic structure and properties of logic OR operation of grade upper approximation operator and grade lower approximation operator are studied. Macroscopic algorithm and structural algorithm are proposed and analyzed,and it obtains a conclusion that structural algorithm has more advantages in space complexity than macroscopic algorithm. Finally the new model and its algorithms are illustrated by an example.
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Multiperiodicity and attractivity of delayed recurrent neural networks with unsaturating piecewise l
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