Efficient decomposition methods of fuzzy relation and their application to image decomposition

Efficient decomposition methods of fuzzy relation and their application to image decomposition
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DOI：
10.1016/j.asoc.2004.09.002
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发表时间：
2005-07
期刊：
Appl. Soft Comput.
影响因子：
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通讯作者：
H. Nobuhara;K. Hirota;S. Sessa;W. Pedrycz
H. Nobuhara;K. Hirota;S. Sessa;W. Pedrycz
中科院分区：
其他
文献类型：
--
作者：
H. Nobuhara;K. Hirota;S. Sessa;W. Pedrycz

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提出了模糊关系（图像）分解问题的两种优化方法。第一个优化是基于最大和最小运算性质和原型同步更新的模糊关系快速分解方法。第二次优化对应于成本函数的改进，以获得分解问题的良好解的质量。
Two optimizations for decomposition problem of fuzzy relation (image) are proposed. The first optimization is a fast decomposition method of fuzzy relation based on the properties of max and min operations and the simultaneous updating of the prototype. The second optimization corresponds to an improvement of a cost function, in order to obtain a good quality of the solution of the decomposition problem.