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CSMD: Centralized Surface Matching Degree, a New Approach for Determining Matching Degree in Fuzzy Systems

机译:CSMD:集中表面匹配程度,一种确定模糊系统中匹配程度的新方法

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Generally, the input of fuzzy system can be crisp or fuzzy. Most of fuzzy systems depend on crisp input while a few of them are based on fuzzy input. The Max-Min algorithm is used to identify matching degree, when the input is fuzzy. This method suffers from drawbacks which are discussed in this paper. We propose an alternative approach which is called Centralized Surface Matching Degree (CSMD). It can remedy all disadvantages of the common approach. This new method applies an adaptive and parametric equation for determining matching degree that can be adapted to any kind of applications.
机译:通常,模糊系统的输入可以是清晰或模糊的。大多数模糊系统都依赖于清晰的输入,而其中一些基于模糊输入。 MAX-MIN算法用于识别匹配程度,当输入是模糊的时。该方法遭受本文讨论的缺点。我们提出一种替代方法,称为集中表面匹配程度(CSMD)。它可以解决共同方法的所有缺点。该新方法应用自适应和参数方程,以确定可以适应任何类型的应用程序的匹配程度。

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