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Centroid of a general type-2 fuzzy set computed by means of the centroid-flow algorithm

机译:利用质心流算法计算的通用2类模糊集的质心

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The centroid of a general type-2 fuzzy set (T2 FS) à can be obtained by taking the union of the centroids of all the α-planes (each raised to level α) of Ã. Karnik-Mendel (KM) or the Enhanced Karnik-Mendel (EKM) algorithms are used for computing the centroid of each α-plane. The iterative features in KM/EKM algorithms can be time-consuming, especially when the algorithms have to be repeated for many α-planes. This paper proposes a new method named Centroid Flow (CF) algorithm to compute the centroid of à without having to apply KM/EKM algorithms for every α-plane. Extensive simulations have shown that the CF algorithm can reduce the computation time by 75% to 80% and 50% to 75% compared to KM and EKM algorithms, respectively, and still maintains satisfactory computation accuracy for various T2 FSs when the primary variable x and ar-plane are discretized finely enough.
机译:通用2型模糊集(T2 FS)Ã的质心可以通过取Ã的所有α平面(每个都升至水平α)的质心的并集而获得。 Karnik-Mendel(KM)或增强型Karnik-Mendel(EKM)算法用于计算每个α平面的质心。 KM / EKM算法中的迭代功能可能很耗时,尤其是当必须对许多α平面重复该算法时。本文提出了一种新的名为质心流(CF)算法的方法来计算Ã的质心,而不必对每个α平面都应用KM / EKM算法。大量的仿真表明,与KM和EKM算法相比,CF算法可以分别将计算时间减少75%至80%和50%至75%,并且当主要变量x和ar平面足够精细地离散化。

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