大规模系统分解方法分析与设计中的拓扑复合体

E. Khalimsky
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引用次数: 1

摘要

大型管理信息系统、基于知识的系统、神经系统、控制系统和其他系统正变得极其复杂。为了研究它们的层次结构,作者把这类系统看作拓扑空间。在分析和设计过程中,这些系统被划分为许多子系统、单元或元素。这种分解等价于将相应的拓扑空间表示为单元的不相交并。将某空间X的拓扑胞复形构造为X的商空间,将每个胞表示为一个点。因此,拓扑空间的胞复合体和cw复合体被认为是具有商拓扑的拓扑空间。这种拓扑复合体比相应空间包含更少的点,并保持其结构。这一特性使它们对结构系统分析和设计非常有用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Topological complexes in analysis and design of large scale system-factorization methodology
Large-scale management information systems, knowledge-based systems, neural systems, control systems and others are becoming extremely sophisticated. In order to investigate their hierarchical structure the author considers such systems as topological spaces. These systems are partitioned into numerous subsystems, cells or elements in the process of their analysis and design. Such decomposition is equivalent to representation of the corresponding topological space as a disjoint union of cells. A topological cell complex of some space X is built as a quotient space of X, which is constructed by representation of each cell as one point. Thus cell complexes and CW-complexes of topological spaces are considered as topological spaces with quotient topology. Such topological complexes contain fewer points than corresponding spaces, and preserve their structure. This feature makes them useful for structural systems analysis and design.<>
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