{"title":"基于激活的模糊认知地图推理模型设计","authors":"Wei Zhang, Baowen Sun, Yan-chun Zhu","doi":"10.1109/IWISA.2009.5072819","DOIUrl":null,"url":null,"abstract":"This study proposed a novel model of FCM based on activation. As for the causal inference process of a traditional FCM system, there exists the limitation of multiple computing. This paper presented an effective approach to address the problem that one node is multiple activated repeatedly. The proposed method will simplify the causal inference process and ensure the randomness and fuzziness of inference process. The final case study validated the proposed model.","PeriodicalId":6327,"journal":{"name":"2009 International Workshop on Intelligent Systems and Applications","volume":"31 1","pages":"1-3"},"PeriodicalIF":0.0000,"publicationDate":"2009-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Design of Inference Model Based on Activation for Fuzzy Cognitive Map\",\"authors\":\"Wei Zhang, Baowen Sun, Yan-chun Zhu\",\"doi\":\"10.1109/IWISA.2009.5072819\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study proposed a novel model of FCM based on activation. As for the causal inference process of a traditional FCM system, there exists the limitation of multiple computing. This paper presented an effective approach to address the problem that one node is multiple activated repeatedly. The proposed method will simplify the causal inference process and ensure the randomness and fuzziness of inference process. The final case study validated the proposed model.\",\"PeriodicalId\":6327,\"journal\":{\"name\":\"2009 International Workshop on Intelligent Systems and Applications\",\"volume\":\"31 1\",\"pages\":\"1-3\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-05-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 International Workshop on Intelligent Systems and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IWISA.2009.5072819\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Workshop on Intelligent Systems and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IWISA.2009.5072819","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Design of Inference Model Based on Activation for Fuzzy Cognitive Map
This study proposed a novel model of FCM based on activation. As for the causal inference process of a traditional FCM system, there exists the limitation of multiple computing. This paper presented an effective approach to address the problem that one node is multiple activated repeatedly. The proposed method will simplify the causal inference process and ensure the randomness and fuzziness of inference process. The final case study validated the proposed model.
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