Fuzzy Rule Interpolation Developer Toolbox Library

2012 7th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI) Pub Date : 2012-05-24 DOI:10.1109/SACI.2012.6249988

Z. Krizsán, S. Kovács

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引用次数: 2

Abstract

In fuzzy applications which run in real environment the complete rule base is not always available due to real manner and performance issue. In case of real application which based on sparse rule base Fuzzy model the conclusion is interpolated using more rules. More programming libraries exist for complete rule base system, but none for sparse rule base. Developer has to implement the FRI method based on articles or the Fuzzy Rule Interpolation Toolbox for MATLAB can be used which is developed by Johanyak. That special MATLAB Toolbox is perfect for research purpose but it is hard to use in real environment. In this paper, we describe the Fuzzy Rule Interpolation Developer Toolbox Library, which is freely available. A real time application that based on incomplete fuzzy rule base model can use this Developer Toolbox Library. The library has more interfaces, which can be used by any popular programming language, for the reason of easier adoption. More FRI methods are implemented in the framework thus more alternatives can be tried and compared.

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模糊规则插值开发工具箱库

在实际环境中运行的模糊应用中，由于实际方式和性能的问题，并不总是能够获得完整的规则库。在基于稀疏规则基模糊模型的实际应用中，使用更多的规则对结论进行插值。完整规则库系统的编程库较多，但稀疏规则库的编程库还没有。开发人员必须基于文章实现FRI方法，或者可以使用Johanyak开发的MATLAB模糊规则插值工具箱。这个专用的MATLAB工具箱非常适合于研究目的，但很难在实际环境中使用。在本文中，我们描述了模糊规则插值开发工具箱库，这是免费提供的。一个基于不完全模糊规则库模型的实时应用程序可以使用这个开发工具箱库。该库有更多的接口，可以被任何流行的编程语言使用，因为更容易采用。在框架中实现了更多的FRI方法，从而可以尝试和比较更多的替代方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

2012 7th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI)

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