{"title":"知识属性:时间约束在主动专家数据库系统中的模糊应用","authors":"R. Bechtold","doi":"10.1109/DMESP.1991.171766","DOIUrl":null,"url":null,"abstract":"In active expert databases, current methodologies distinguish between the active execution of knowledge and the management of data. This distinction is extended to attributes, so that attributes also reflect both knowledge and data. The objective is to make the expert system more knowledgeable of, and responsive to, its own execution characteristics. Active databases are discussed with particular focus being given to execution determinism, basic principles of fuzzy logic and temporal issues, and various potential knowledge attributes that capture temporal execution and usage characteristics. The fuzzy interpretation of those characteristics in constraining the activity behind an active expert database system is discussed.<<ETX>>","PeriodicalId":117336,"journal":{"name":"[1991] Proceedings of the IEEE/ACM International Conference on Developing and Managing Expert System Programs","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1991-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Knowledge attributes: fuzzy application of temporal constraints in active expert database systems\",\"authors\":\"R. Bechtold\",\"doi\":\"10.1109/DMESP.1991.171766\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In active expert databases, current methodologies distinguish between the active execution of knowledge and the management of data. This distinction is extended to attributes, so that attributes also reflect both knowledge and data. The objective is to make the expert system more knowledgeable of, and responsive to, its own execution characteristics. Active databases are discussed with particular focus being given to execution determinism, basic principles of fuzzy logic and temporal issues, and various potential knowledge attributes that capture temporal execution and usage characteristics. The fuzzy interpretation of those characteristics in constraining the activity behind an active expert database system is discussed.<<ETX>>\",\"PeriodicalId\":117336,\"journal\":{\"name\":\"[1991] Proceedings of the IEEE/ACM International Conference on Developing and Managing Expert System Programs\",\"volume\":\"33 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1991-09-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"[1991] Proceedings of the IEEE/ACM International Conference on Developing and Managing Expert System Programs\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DMESP.1991.171766\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1991] Proceedings of the IEEE/ACM International Conference on Developing and Managing Expert System Programs","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DMESP.1991.171766","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Knowledge attributes: fuzzy application of temporal constraints in active expert database systems
In active expert databases, current methodologies distinguish between the active execution of knowledge and the management of data. This distinction is extended to attributes, so that attributes also reflect both knowledge and data. The objective is to make the expert system more knowledgeable of, and responsive to, its own execution characteristics. Active databases are discussed with particular focus being given to execution determinism, basic principles of fuzzy logic and temporal issues, and various potential knowledge attributes that capture temporal execution and usage characteristics. The fuzzy interpretation of those characteristics in constraining the activity behind an active expert database system is discussed.<>
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