{"title":"农业移动机器人管理中的模糊情景识别方法","authors":"I. Kafiev, P. Romanov, I. Romanova, R. Galiullin","doi":"10.31563/1684-7628-2019-51-3-106-114","DOIUrl":null,"url":null,"abstract":"The paper offers a method to recognize current fuzzy situations in management of mobile robots in farming. It allows to understand and evaluate the current situation in complex dynamic conditions, when there is an incompleteness and inaccuracy of the original data. The technique is based on fuzzy situational management of objects, which is based on the situational management model «situation – action».","PeriodicalId":253385,"journal":{"name":"VESTNIK OF THE BASHKIR STATE AGRARIAN UNIVERSITY","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"RECOGNITION METHODS OF FUZZY SITUATIONS TO MANAGE MOBILE ROBOTS IN FARMING\",\"authors\":\"I. Kafiev, P. Romanov, I. Romanova, R. Galiullin\",\"doi\":\"10.31563/1684-7628-2019-51-3-106-114\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper offers a method to recognize current fuzzy situations in management of mobile robots in farming. It allows to understand and evaluate the current situation in complex dynamic conditions, when there is an incompleteness and inaccuracy of the original data. The technique is based on fuzzy situational management of objects, which is based on the situational management model «situation – action».\",\"PeriodicalId\":253385,\"journal\":{\"name\":\"VESTNIK OF THE BASHKIR STATE AGRARIAN UNIVERSITY\",\"volume\":\"6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-09-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"VESTNIK OF THE BASHKIR STATE AGRARIAN UNIVERSITY\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.31563/1684-7628-2019-51-3-106-114\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"VESTNIK OF THE BASHKIR STATE AGRARIAN UNIVERSITY","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.31563/1684-7628-2019-51-3-106-114","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
RECOGNITION METHODS OF FUZZY SITUATIONS TO MANAGE MOBILE ROBOTS IN FARMING
The paper offers a method to recognize current fuzzy situations in management of mobile robots in farming. It allows to understand and evaluate the current situation in complex dynamic conditions, when there is an incompleteness and inaccuracy of the original data. The technique is based on fuzzy situational management of objects, which is based on the situational management model «situation – action».
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