基于拉格朗日插值的广义模糊插值型推理方法

2004 International Conference on Intelligent Mechatronics and Automation, 2004. Proceedings. Pub Date : 2004-08-26 DOI:10.1109/ICIMA.2004.1384321

Baowen Wang, Xiaodong Shao, Wenyuan Liu, Yan Shi

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引用次数: 2

摘要

在模糊规则库稀疏的情况下，文献(1)提出了一种基于拉格朗日插值的模糊插值型推理。这种模糊推理方法可以保证推理结果的隶属度函数是不规则的，并且在模糊规则库是稀疏的情况下，给出了一个三角型的观测值。但对于许多其他类型的隶属函数，这种方法就不适用了。对该方法进行了推广，使其适用于大多数正规凸模糊集。

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Generalized method of fuzzy interpolative-type reasoning based on lagrange's interpolation

When fuvy rule base is sparse, reference (I) proposed a fuzzy interpolative-type reasoning based on Lagrange's interpolation. This fuzzy reasoning method can guarantee the membership function of the inference consequence to be of ~iamgular-fypeiiall ofmembership fyDEtiDllE dfuuy rules and an Observation are given by triangular-type when fuzzy rule base is sparse. But to many membership functions of other type, this method is not applicable. We generalized this method so that this method is applicable to most normal convex fuzzy sets.

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来源期刊

2004 International Conference on Intelligent Mechatronics and Automation, 2004. Proceedings.

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