{"title":"A characteristic-point-based fuzzy inference system","authors":"T. Yin, C.S.G. Lee","doi":"10.1109/AFSS.1996.583691","DOIUrl":null,"url":null,"abstract":"A fuzzy inference system (FIS), called characteristic point based fuzzy inference system (CPFIS), is proposed to model the input output relationship of a complex system. It is observed that the inference operations of FISs are based on the interpolations among the fuzzy rules which emulate the summarizing ability of human beings. The proposed CPFIS provides a systematic method to constructing FISs via the interpolation property with two distinct features: maximum and minimum fuzzy rules which are related to the interpolation property of human reasoning, and their employment for the interpolation property, resulting in a small sized fuzzy rule base for high dimensional systems.","PeriodicalId":197019,"journal":{"name":"Soft Computing in Intelligent Systems and Information Processing. Proceedings of the 1996 Asian Fuzzy Systems Symposium","volume":"54 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1996-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Soft Computing in Intelligent Systems and Information Processing. Proceedings of the 1996 Asian Fuzzy Systems Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AFSS.1996.583691","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
A fuzzy inference system (FIS), called characteristic point based fuzzy inference system (CPFIS), is proposed to model the input output relationship of a complex system. It is observed that the inference operations of FISs are based on the interpolations among the fuzzy rules which emulate the summarizing ability of human beings. The proposed CPFIS provides a systematic method to constructing FISs via the interpolation property with two distinct features: maximum and minimum fuzzy rules which are related to the interpolation property of human reasoning, and their employment for the interpolation property, resulting in a small sized fuzzy rule base for high dimensional systems.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
