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Granular Structure Merging Algorithm Based on Category Theory

机译:基于分类理论的粒度结构合并算法

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In order to solve the problem of conversion from the finer level of granularity to the coarser level of granularity, this paper proposes a formal method for Granular structure merging based on category theory. Firstly, it takes the granular structure as the granular object and the granular structure mapping as the granular morphism, then the granular object and the granular morphism compose the granular structure category. Secondly, it uses the granular morphism and the granular pushout to achieve the granular structure merging,then gets the granular structure merging algorithm (GrSM). Finally, the author illustrates the method with the concrete examples, which solves the granular structure merging issue. This method has a solid mathematical foundation and methodology, which is worth further study.
机译:为了解决从细粒度到粗粒度转换的问题,本文提出了一种基于类别理论的粒度结构合并的形式化方法。首先,以粒状结构为粒状对象,以粒状结构映射为粒状态,然后由粒状对象和粒状态构成粒状结构类别。其次,利用粒态射态和粒状推出,实现粒状结构合并,进而得到粒状结构合并算法(GrSM)。最后,作者以具体实例说明了该方法,解决了粒度结构合并的问题。该方法具有扎实的数学基础和方法论,值得进一步研究。

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