{"title":"基于DFL的默认假设推理","authors":"Jin Huang, Fanzhang Li","doi":"10.1109/GRC.2006.1635828","DOIUrl":null,"url":null,"abstract":"Mankind can use uncertain and incomplete information to infer. And the conclusions are always satisfying. In our daily life most objects in the reasoning processing have Dynamic Fuzzy character. Due to this we propose default assumption reasoning based on DFL. Here, we introduce the reasoning frame, Dynamic Fuzzy knowledge representation, reasoning algorithms and so on.","PeriodicalId":400997,"journal":{"name":"2006 IEEE International Conference on Granular Computing","volume":"48 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Default assumption reasoning based on DFL\",\"authors\":\"Jin Huang, Fanzhang Li\",\"doi\":\"10.1109/GRC.2006.1635828\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Mankind can use uncertain and incomplete information to infer. And the conclusions are always satisfying. In our daily life most objects in the reasoning processing have Dynamic Fuzzy character. Due to this we propose default assumption reasoning based on DFL. Here, we introduce the reasoning frame, Dynamic Fuzzy knowledge representation, reasoning algorithms and so on.\",\"PeriodicalId\":400997,\"journal\":{\"name\":\"2006 IEEE International Conference on Granular Computing\",\"volume\":\"48 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-05-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2006 IEEE International Conference on Granular Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/GRC.2006.1635828\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 IEEE International Conference on Granular Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GRC.2006.1635828","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Mankind can use uncertain and incomplete information to infer. And the conclusions are always satisfying. In our daily life most objects in the reasoning processing have Dynamic Fuzzy character. Due to this we propose default assumption reasoning based on DFL. Here, we introduce the reasoning frame, Dynamic Fuzzy knowledge representation, reasoning algorithms and so on.
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