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Fuzzy Number Addition with the Application of Horizontal Membership Functions

机译:水平隶属度函数在模糊数加法中的应用

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摘要

The paper presents addition of fuzzy numbers realised with the application of the multidimensional RDM arithmetic and horizontal membership functions (MFs). Fuzzy arithmetic (FA) is a very difficult task because operations should be performed here on multidimensional information granules. Instead, a lot of FA methods use α-cuts in connection with 1-dimensional classical interval arithmetic that operates not on multidimensional granules but on 1-dimensional intervals. Such approach causes difficulties in calculations and is a reason for arithmetical paradoxes. The multidimensional approach allows for removing drawbacks and weaknesses of FA. It is possible thanks to the application of horizontal membership functions which considerably facilitate calculations because now uncertain values can be inserted directly into equations without using the extension principle. The paper shows how the addition operation can be realised on independent fuzzy numbers and on partly or fully dependent fuzzy numbers with taking into account the order relation and how to solve equations, which can be a difficult task for 1-dimensional FAs.
机译:本文介绍了使用多维RDM算法和水平隶属度函数(MF)实现的模糊数加法。模糊算术(FA)是一项非常困难的任务,因为此处应对多维信息颗粒执行操作。取而代之的是,许多FA方法将α割与一维经典间隔算法结合使用,该算法不对多维粒子起作用,而对一维间隔起作用。这种方法在计算中造成困难,并且是算术悖论的原因。多维方法可以消除FA的缺点和不足。由于可以应用水平隶属函数,因此极大地方便了计算,因为现在可以将不确定值直接插入方程式中,而无需使用扩展原理。本文说明了如何在考虑顺序关系和如何求解方程的情况下,对独立的模糊数和部分或完全依赖的模糊数实现加法运算,这对于一维FA来说可能是一项艰巨的任务。

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