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Fuzzy rule interpolation matlab toolbox - FRI toolbox

机译:模糊规则插值MATLAB工具箱-FRI工具箱

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摘要

In most fuzzy systems, the completeness of the fuzzy rule base is required to generate meaningful output when classical fuzzy reasoning methods are applied. This means, in other words, that the fuzzy rule base has to cover all possible inputs. Regardless of the way of rule base construction, be it created by human experts or by an automated manner, often incomplete rule bases are generated. One simple solution to handle sparse fuzzy rule bases and to make infer reasonable output is the application of fuzzy rule interpolation (FRI) methods. In this paper, we present a Fuzzy Rule Interpolation Matlab Toolbox, which is freely available. With the introduction of this Matlab Toolbox, different FRI methods can be used for different real time applications, which have sparse or incomplete fuzzy rule base.
机译:在大多数模糊系统中,当应用经典模糊推理方法时,要求模糊规则库的完整性以生成有意义的输出。换句话说,这意味着模糊规则库必须覆盖所有可能的输入。无论规则库的构建方式是由人类专家创建还是由自动化方式创建,通常都会生成不完整的规则库。模糊规则插值(FRI)方法的应用是处理稀疏模糊规则库并推断合理输出的一种简单解决方案。在本文中,我们提供了一个模糊规则插值Matlab工具箱,该工具箱可免费获得。通过引入此Matlab工具箱,可以将具有稀疏或不完整模糊规则库的不同FRI方法用于不同的实时应用程序。

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