Georgines Jacobsen Rasoarinirina, Harimino Andriamalala Rajaonarisoa, I. P. Ramahazosoa, A. Ratiarison, Georgines Jacobsen, Rasoarinirina, Harimino Andriamalala, I. P. Rajaonarisoa, Ramahazosoa
{"title":"马斯卡林反气旋中心轨迹的模糊推理系统建模","authors":"Georgines Jacobsen Rasoarinirina, Harimino Andriamalala Rajaonarisoa, I. P. Ramahazosoa, A. Ratiarison, Georgines Jacobsen, Rasoarinirina, Harimino Andriamalala, I. P. Rajaonarisoa, Ramahazosoa","doi":"10.33969/ais.2023050103","DOIUrl":null,"url":null,"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.","PeriodicalId":273028,"journal":{"name":"Journal of Artificial Intelligence and Systems","volume":"59 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Fuzzy Inference System Modelling of the Mascarenes Anticyclone center Trajectory\",\"authors\":\"Georgines Jacobsen Rasoarinirina, Harimino Andriamalala Rajaonarisoa, I. P. Ramahazosoa, A. Ratiarison, Georgines Jacobsen, Rasoarinirina, Harimino Andriamalala, I. P. Rajaonarisoa, Ramahazosoa\",\"doi\":\"10.33969/ais.2023050103\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":273028,\"journal\":{\"name\":\"Journal of Artificial Intelligence and Systems\",\"volume\":\"59 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Artificial Intelligence and Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.33969/ais.2023050103\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Artificial Intelligence and Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.33969/ais.2023050103","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Fuzzy Inference System Modelling of the Mascarenes Anticyclone center Trajectory
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.