{"title":"使用基于有向图的建模方法进行基于规则的内容验证","authors":"G.S. Gursaran , S. Kanungo , A.K. Sinha","doi":"10.1016/S0954-1810(99)00013-8","DOIUrl":null,"url":null,"abstract":"<div><p>Ensuring that the content of a rule-base, which is being encoded, is free from problems of consistency, completeness, and conciseness, is necessary to avoid any performance errors that might occur during consultation sessions with the rule-based system. In this paper we have described, formally, content verification of a specific type of rule-base using a digraph-based modelling approach. Through analytic formulations it is demonstrated that problems in the rule-base lead to the existence of certain properties in the digraph and various rule-base model representations that have been devised in this work. These properties, in turn, as is also shown through an example, can be examined for rule-base content verification.</p></div>","PeriodicalId":100123,"journal":{"name":"Artificial Intelligence in Engineering","volume":"13 3","pages":"Pages 321-336"},"PeriodicalIF":0.0000,"publicationDate":"1999-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/S0954-1810(99)00013-8","citationCount":"11","resultStr":"{\"title\":\"Rule-base content verification using a digraph-based modelling approach\",\"authors\":\"G.S. Gursaran , S. Kanungo , A.K. Sinha\",\"doi\":\"10.1016/S0954-1810(99)00013-8\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Ensuring that the content of a rule-base, which is being encoded, is free from problems of consistency, completeness, and conciseness, is necessary to avoid any performance errors that might occur during consultation sessions with the rule-based system. In this paper we have described, formally, content verification of a specific type of rule-base using a digraph-based modelling approach. Through analytic formulations it is demonstrated that problems in the rule-base lead to the existence of certain properties in the digraph and various rule-base model representations that have been devised in this work. These properties, in turn, as is also shown through an example, can be examined for rule-base content verification.</p></div>\",\"PeriodicalId\":100123,\"journal\":{\"name\":\"Artificial Intelligence in Engineering\",\"volume\":\"13 3\",\"pages\":\"Pages 321-336\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1999-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1016/S0954-1810(99)00013-8\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Artificial Intelligence in Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0954181099000138\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Artificial Intelligence in Engineering","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0954181099000138","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Rule-base content verification using a digraph-based modelling approach
Ensuring that the content of a rule-base, which is being encoded, is free from problems of consistency, completeness, and conciseness, is necessary to avoid any performance errors that might occur during consultation sessions with the rule-based system. In this paper we have described, formally, content verification of a specific type of rule-base using a digraph-based modelling approach. Through analytic formulations it is demonstrated that problems in the rule-base lead to the existence of certain properties in the digraph and various rule-base model representations that have been devised in this work. These properties, in turn, as is also shown through an example, can be examined for rule-base content verification.