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Solving the Minimal Solutions of Max-min Fuzzy Relation Equation by Graph Method and Branch Method

机译:用曲线图和分支方法解决MAX-MIN模糊关系方程的最小解

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The problem of solving max-min fuzzy relation equation is further discussed in this paper. The main matter of solving max-min fuzzy relation equation is to find its whole minimal solutions. Based on the analysis of the characteristic of minimal solution and previous results, this paper transforms the problem of seeking the whole minimal solutions into constructing a bipartite fuzzy graph and finding the various covering manners for all equations, at the same time an algorithm of generating the whole minimal solutions is given. Furthermore, to remove useless computations in the process of solving the equation, a new method, which is called branch method, is given. Both the two methods are simple, explicit for using, and are helpful for understanding the feature of the equation's minimal solution. Lastly, an example is given to illustrate the application of the two methods.
机译:本文进一步讨论了求解MAX-MIN模糊关系方程的问题。求解MAX-MIN模糊关系方程的主要问题是找到其整个最小的解决方案。基于分析最小解决方案和以前的结果的特性,这篇论文改变了在构建双链模糊图中寻求全部最小解的问题,并同时产生各方程的各种覆盖方式,同时产生的算法给出了整个最小的解决方案。此外,为了在求解等式的过程中去除无用的计算,给出了一种被称为分支方法的新方法。这两种方法都简单,易于使用,并且有助于理解等式最小解决方案的特征。最后,给出了一个例子来说明这两种方法的应用。

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