Fuzzy Inference System Modelling of the Mascarenes Anticyclone center Trajectory

Georgines Jacobsen Rasoarinirina, Harimino Andriamalala Rajaonarisoa, I. P. Ramahazosoa, A. Ratiarison, Georgines Jacobsen, Rasoarinirina, Harimino Andriamalala, I. P. Rajaonarisoa, Ramahazosoa
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Abstract

This work objective is to determine the parameters of the fuzzy inference system model that best models the Mascarenes anticyclone trajectory. Our study area extends from 20°E to 110°E longitude and from 15°S to 50°S latitude. We start from the atmospheric pressure reanalysis data in grid point to determine the Mascarene anticyclone center. This center is none other than the center of the last closed Anticyclone's isobar. The monthly climatological mean value of the center coordinates are the data to be modeled by fuzzy inference system. The considered model parameters are the partitions number of the discourse universe and the model order. After evaluating the deviation between the input data and the simulated data, the minimum deviation is obtained with order model 2 by using 50 numbers of partitions.
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马斯卡林反气旋中心轨迹的模糊推理系统建模
本工作的目的是确定模糊推理系统模型的参数,以最好地模拟马斯卡林反气旋轨迹。我们的研究区域从经度20°E到110°E,从经度15°S到50°S。我们从栅格点的气压再分析资料出发,确定了马斯卡林反气旋中心。这个中心正是上一次关闭的反气旋等压线的中心。中心坐标的月气候平均值是用模糊推理系统建模的数据。考虑的模型参数是话语域的划分数和模型顺序。在评估输入数据与模拟数据之间的偏差后,使用50个分区的阶数模型2获得最小偏差。
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