{"title":"A new method for fuzzy pattern classification based on measures of similarity","authors":"I.I. Flokos","doi":"10.1109/AFSS.1996.583544","DOIUrl":null,"url":null,"abstract":"This paper presents a new method for fuzzy pattern classification. Its main difference from other methods is the introduction of a measure of similarity between the patterns and the point in the n-dimensional space which is to be classified. Furthermore this method is robust against noise corrupted patterns, which is an important aspect in many pattern classification problems.","PeriodicalId":197019,"journal":{"name":"Soft Computing in Intelligent Systems and Information Processing. Proceedings of the 1996 Asian Fuzzy Systems Symposium","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1996-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","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.1996.583544","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This paper presents a new method for fuzzy pattern classification. Its main difference from other methods is the introduction of a measure of similarity between the patterns and the point in the n-dimensional space which is to be classified. Furthermore this method is robust against noise corrupted patterns, which is an important aspect in many pattern classification problems.
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