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首页> 外文期刊>Journal of intelligent & fuzzy systems: Applications in Engineering and Technology >Mesh construction of PLF and its approximation process in Mamdani fuzzy system
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Mesh construction of PLF and its approximation process in Mamdani fuzzy system

机译:MAMDANI模糊系统的PLF的网格构造及其近似过程

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摘要

A piecewise linear function (PLF) plays a key role in the study of approximation of fuzzy system to an unknown function. PLF is not only the extension of unitary piecewise linear function under multi-variant conditions but also an important bridge between fuzzy system and approximation function. In this paper, a specific PLF is first constructed by the mesh subdivision of a polyhedron, and its analytical expression is obtained. Secondly, we verify that a PLF has the approximation performance to a continuous function based on the maximum norm and matrix norm, and the Mamdani fuzzy system can also approximate to arbitrary accuracy with respect to the maximum norm.
机译:分段线性函数(PLF)在模糊系统近似到未知功能的研究中起着关键作用。 PLF不仅是多变体条件下单一分段线性功能的扩展,而且是模糊系统和近似函数之间的重要桥梁。 在本文中,首先通过多面体的网状细分构建特定PLF,并获得其分析表达。 其次,我们验证了基于最大规范和矩阵规范的连续功能的近似性能,而Mamdani模糊系统也可以近似于关于最大规范的任意精度。

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