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Granular Structure Merging Algorithm Based on Category Theory

机译:基于类别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:为了解决从较细粒度的转化问题与较粗的粒度水平,提出了一种基于类别理论的粒度结构合并的正式方法。首先,将颗粒结构作为粒状物体和颗粒结构映射作为粒状态势,然后颗粒物体和粒状晶体构成粒状结构类别。其次,它使用粒状态度和粒状推出来实现粒度结构合并,然后获取粒度结构合并算法(GRSM)。最后,作者说明了具体示例的方法,该方法解决了粒度结构合并问题。该方法具有稳定的数学基础和方法,值得进一步研究。

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