{"title":"基于Petri网的模糊知识系统目标驱动推理","authors":"Alberto Bugarín-Diz, S. Barro","doi":"10.1109/FUZZY.1994.343522","DOIUrl":null,"url":null,"abstract":"In this paper we describe a goal-driven reasoning algorithm over fuzzy knowledge bases. The approach to the problem permits characterizing the chaining between rules without requiring a complete identification between the propositions. The certainty degree of the rules is implemented by means of linguistic truth values and we include different considerations on the goals. A simple and adequate description of the process is achieved through the use of a Petri net formalism for the representation and manipulation of fuzzy knowledge bases.<<ETX>>","PeriodicalId":153967,"journal":{"name":"Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Goal-driven reasoning for fuzzy knowledge-based systems using a Petri net formalism\",\"authors\":\"Alberto Bugarín-Diz, S. Barro\",\"doi\":\"10.1109/FUZZY.1994.343522\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper we describe a goal-driven reasoning algorithm over fuzzy knowledge bases. The approach to the problem permits characterizing the chaining between rules without requiring a complete identification between the propositions. The certainty degree of the rules is implemented by means of linguistic truth values and we include different considerations on the goals. A simple and adequate description of the process is achieved through the use of a Petri net formalism for the representation and manipulation of fuzzy knowledge bases.<<ETX>>\",\"PeriodicalId\":153967,\"journal\":{\"name\":\"Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference\",\"volume\":\"11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1994-06-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/FUZZY.1994.343522\",\"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 of 1994 IEEE 3rd International Fuzzy Systems Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FUZZY.1994.343522","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Goal-driven reasoning for fuzzy knowledge-based systems using a Petri net formalism
In this paper we describe a goal-driven reasoning algorithm over fuzzy knowledge bases. The approach to the problem permits characterizing the chaining between rules without requiring a complete identification between the propositions. The certainty degree of the rules is implemented by means of linguistic truth values and we include different considerations on the goals. A simple and adequate description of the process is achieved through the use of a Petri net formalism for the representation and manipulation of fuzzy knowledge bases.<>
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