{"title":"Reasoning with uncertainty in the knowledge engineering environment (KEE)","authors":"R. Felix","doi":"10.1109/DMESP.1991.171721","DOIUrl":null,"url":null,"abstract":"FUZZY, a component for reasoning with uncertainty, is presented. FUZZY is an extension of the knowledge engineering environment (KEE) and provides the ability to reason with uncertainty within it. Through an appropriate rule syntax and semantics, FUZZY is fully integrated into the concept of the forward chaining engine of KEE. Thus, fuzzy facts and fuzzy rules can be easily combined. FUZZY reflects the necessity of representing uncertain knowledge and reasoning with it. FUZZY has already been successfully applied both in the synthesis and in the diagnosis domain and is a promising approach for knowledge engineering tools.<<ETX>>","PeriodicalId":117336,"journal":{"name":"[1991] Proceedings of the IEEE/ACM International Conference on Developing and Managing Expert System Programs","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1991-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","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.1991.171721","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
FUZZY, a component for reasoning with uncertainty, is presented. FUZZY is an extension of the knowledge engineering environment (KEE) and provides the ability to reason with uncertainty within it. Through an appropriate rule syntax and semantics, FUZZY is fully integrated into the concept of the forward chaining engine of KEE. Thus, fuzzy facts and fuzzy rules can be easily combined. FUZZY reflects the necessity of representing uncertain knowledge and reasoning with it. FUZZY has already been successfully applied both in the synthesis and in the diagnosis domain and is a promising approach for knowledge engineering tools.<>
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