{"title":"用似是而非的推理系统来表现案例和规则的","authors":"P. Bonissone, S. Ayub","doi":"10.1109/TAI.1992.246436","DOIUrl":null,"url":null,"abstract":"The representation of cases and rules is addressed. A case representation language tool used to directly represent instantiated cases is presented. PRIMO (plausible reasoning module), a rule-based system used to represent uncertainty and vagueness in data and rules, is described. Cases and rules, integrated in a combined approximate reasoning system (CARS), are illustrated with examples taken from the domain of mergers and acquisitions.<<ETX>>","PeriodicalId":265283,"journal":{"name":"Proceedings Fourth International Conference on Tools with Artificial Intelligence TAI '92","volume":"126 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"16","resultStr":"{\"title\":\"Representing cases and rules in plausible reasoning systems\",\"authors\":\"P. Bonissone, S. Ayub\",\"doi\":\"10.1109/TAI.1992.246436\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The representation of cases and rules is addressed. A case representation language tool used to directly represent instantiated cases is presented. PRIMO (plausible reasoning module), a rule-based system used to represent uncertainty and vagueness in data and rules, is described. Cases and rules, integrated in a combined approximate reasoning system (CARS), are illustrated with examples taken from the domain of mergers and acquisitions.<<ETX>>\",\"PeriodicalId\":265283,\"journal\":{\"name\":\"Proceedings Fourth International Conference on Tools with Artificial Intelligence TAI '92\",\"volume\":\"126 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1992-11-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"16\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings Fourth International Conference on Tools with Artificial Intelligence TAI '92\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TAI.1992.246436\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings Fourth International Conference on Tools with Artificial Intelligence TAI '92","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TAI.1992.246436","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Representing cases and rules in plausible reasoning systems
The representation of cases and rules is addressed. A case representation language tool used to directly represent instantiated cases is presented. PRIMO (plausible reasoning module), a rule-based system used to represent uncertainty and vagueness in data and rules, is described. Cases and rules, integrated in a combined approximate reasoning system (CARS), are illustrated with examples taken from the domain of mergers and acquisitions.<>
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