{"title":"Basic structure of three-layered fuzzy inference in FLINS-fuzzy lingual system","authors":"S. Tano, W. Okamoto, T. Iwatani, A. Inoue","doi":"10.1109/FUZZY.1994.343663","DOIUrl":null,"url":null,"abstract":"The Laboratory for International Fuzzy Engineering Research (LIFE) in Japan is developing a natural language communication system called FLINS, which is short for fuzzy lingual system. The final goal of the project is to implement a lingual computer that can communicate and learn, both by being taught and on it own, through use of a fuzzy natural language. In this paper, the goal of FLINS is briefly presented. Next, the problems and limitations of conventional systems are summarized, and new design concepts, text-based architecture and fuzzy-centered architecture, to overcome those problems and limitations are proposed. Finally, the structure of the three-layered fuzzy inference mechanism, which is one of the most important features of FLINS, is described.<<ETX>>","PeriodicalId":153967,"journal":{"name":"Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference","volume":"335 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","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.1994.343663","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9
Abstract
The Laboratory for International Fuzzy Engineering Research (LIFE) in Japan is developing a natural language communication system called FLINS, which is short for fuzzy lingual system. The final goal of the project is to implement a lingual computer that can communicate and learn, both by being taught and on it own, through use of a fuzzy natural language. In this paper, the goal of FLINS is briefly presented. Next, the problems and limitations of conventional systems are summarized, and new design concepts, text-based architecture and fuzzy-centered architecture, to overcome those problems and limitations are proposed. Finally, the structure of the three-layered fuzzy inference mechanism, which is one of the most important features of FLINS, is described.<>