{"title":"模糊管理系统中相似系数的规范","authors":"N. E. Adilova","doi":"10.37474/0365-8554/2022-12-63-65","DOIUrl":null,"url":null,"abstract":"The paper theoretically explains and shows the specification of similarity coefficient of the rules included in the fuzzy management systems. The presence of similarity between the rules and exception of useless ones for the further practical stages from the management systems is possible via the specification of similarity coefficient. The definition of this criterion creates the conditions for more effective employment of fuzzy model “If, then” in decision making and acquiring knowledge as well.","PeriodicalId":8668,"journal":{"name":"Azerbaijan Oil Industry","volume":"17 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The specification of similarity coefficient in fuzzy management systems\",\"authors\":\"N. E. Adilova\",\"doi\":\"10.37474/0365-8554/2022-12-63-65\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper theoretically explains and shows the specification of similarity coefficient of the rules included in the fuzzy management systems. The presence of similarity between the rules and exception of useless ones for the further practical stages from the management systems is possible via the specification of similarity coefficient. The definition of this criterion creates the conditions for more effective employment of fuzzy model “If, then” in decision making and acquiring knowledge as well.\",\"PeriodicalId\":8668,\"journal\":{\"name\":\"Azerbaijan Oil Industry\",\"volume\":\"17 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Azerbaijan Oil Industry\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.37474/0365-8554/2022-12-63-65\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Azerbaijan Oil Industry","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.37474/0365-8554/2022-12-63-65","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The specification of similarity coefficient in fuzzy management systems
The paper theoretically explains and shows the specification of similarity coefficient of the rules included in the fuzzy management systems. The presence of similarity between the rules and exception of useless ones for the further practical stages from the management systems is possible via the specification of similarity coefficient. The definition of this criterion creates the conditions for more effective employment of fuzzy model “If, then” in decision making and acquiring knowledge as well.
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