{"title":"颗粒计算II:人工智能工程的基础设施","authors":"T. Lin","doi":"10.1109/GRC.2006.1635743","DOIUrl":null,"url":null,"abstract":"What is granular computing? There are no well accepted formal definitions yet. Informally, any computing theory/technology that involves elements and granules (subsets or generalized subsets) may be called granular computing (GrC). Intuitively, elements are the data, and granules are the basic knowledge. So granular computing is the infrastructures for AIEngineering: uncertainty management, data mining, knowledge engineering, and learning.","PeriodicalId":400997,"journal":{"name":"2006 IEEE International Conference on Granular Computing","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"17","resultStr":"{\"title\":\"Granular computing II: Infrastructures for AI-Engineering\",\"authors\":\"T. Lin\",\"doi\":\"10.1109/GRC.2006.1635743\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"What is granular computing? There are no well accepted formal definitions yet. Informally, any computing theory/technology that involves elements and granules (subsets or generalized subsets) may be called granular computing (GrC). Intuitively, elements are the data, and granules are the basic knowledge. So granular computing is the infrastructures for AIEngineering: uncertainty management, data mining, knowledge engineering, and learning.\",\"PeriodicalId\":400997,\"journal\":{\"name\":\"2006 IEEE International Conference on Granular Computing\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-05-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"17\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2006 IEEE International Conference on Granular Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/GRC.2006.1635743\",\"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.2006.1635743","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Granular computing II: Infrastructures for AI-Engineering
What is granular computing? There are no well accepted formal definitions yet. Informally, any computing theory/technology that involves elements and granules (subsets or generalized subsets) may be called granular computing (GrC). Intuitively, elements are the data, and granules are the basic knowledge. So granular computing is the infrastructures for AIEngineering: uncertainty management, data mining, knowledge engineering, and learning.