{"title":"模糊认知地图中聚合算子的规则","authors":"M. Takács, A. Szakál, Igor Baganj","doi":"10.1109/INES.2017.8118578","DOIUrl":null,"url":null,"abstract":"The paper gives a possible step-by-step building of a Fuzzy Cognitive Map (FCM), underlying the steps, where the aggregation operators plan an important role in the process. The investigation focuses on the preliminary phase of the FCM learning process, where the adjusting process of the FCM comes off without external additional information about the system model parameters.","PeriodicalId":344933,"journal":{"name":"2017 IEEE 21st International Conference on Intelligent Engineering Systems (INES)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"The rule of the aggregation operators in fuzzy cognitive maps\",\"authors\":\"M. Takács, A. Szakál, Igor Baganj\",\"doi\":\"10.1109/INES.2017.8118578\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper gives a possible step-by-step building of a Fuzzy Cognitive Map (FCM), underlying the steps, where the aggregation operators plan an important role in the process. The investigation focuses on the preliminary phase of the FCM learning process, where the adjusting process of the FCM comes off without external additional information about the system model parameters.\",\"PeriodicalId\":344933,\"journal\":{\"name\":\"2017 IEEE 21st International Conference on Intelligent Engineering Systems (INES)\",\"volume\":\"34 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 IEEE 21st International Conference on Intelligent Engineering Systems (INES)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/INES.2017.8118578\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE 21st International Conference on Intelligent Engineering Systems (INES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INES.2017.8118578","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The rule of the aggregation operators in fuzzy cognitive maps
The paper gives a possible step-by-step building of a Fuzzy Cognitive Map (FCM), underlying the steps, where the aggregation operators plan an important role in the process. The investigation focuses on the preliminary phase of the FCM learning process, where the adjusting process of the FCM comes off without external additional information about the system model parameters.