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Construction and applications of a modified Fuzzy Relational Model

机译:改进的模糊关系模型的构建与应用

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摘要

A modified fuzzy relational modeling structure is presented in this paper by proposing a fuzzy relational inner composition. This leads to an integrated framework for representing multilevel fuzzy relational equations which is able to provide multi-dimensional models of complex systems very effectively. A potentially online derivative-based identification algorithm is also presented for the proposed model. The identification procedure is based on the special t-norm-based and t-conorm-based operations leading to an easy and fast implementation of the proposed algorithm. The proposed modeling structure is customized and used for two different applications. The simulation results show high modeling capability of the proposed fuzzy relational model.
机译:通过提出一种模糊的关系内部构成,提出了一种改进的模糊关系建模结构。这导致了一个用于表示多级模糊关系方程的集成框架,该框架能够非常有效地提供复杂系统的多维模型。提出的模型还提出了潜在的基于在线导数的识别算法。识别过程基于特殊的基于t范数和基于t范式的运算,从而可以轻松,快速地实现所提出的算法。所提议的建模结构是定制的,可用于两种不同的应用。仿真结果表明所提出的模糊关系模型具有较高的建模能力。

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