Intuitionistic Fuzzy Sets with Single Parameter and its Application to Pattern Recognition

Zhenhua Zhang, Jingyu Yang, Youpei Ye, Xiaorong Wu
{"title":"Intuitionistic Fuzzy Sets with Single Parameter and its Application to Pattern Recognition","authors":"Zhenhua Zhang, Jingyu Yang, Youpei Ye, Xiaorong Wu","doi":"10.1109/ISCID.2011.90","DOIUrl":null,"url":null,"abstract":"The concept of intuitionistic fuzzy sets with parameters (IFSP) is first introduced in this paper. By analyzing the degree of hesitancy, this paper concentrates on the construction and application of intuitionistic fuzzy sets with single parameter (IFSSP). Finally, a pattern recognition example is given to demonstrate the application of IFSSP. The experimental results show that we can adjust the parameter to appropriate value to obtain the desired result, therefore, the method of IFSSP is more comprehensive and flexible than that of traditional intuitionistic fuzzy sets.","PeriodicalId":224504,"journal":{"name":"2011 Fourth International Symposium on Computational Intelligence and Design","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 Fourth International Symposium on Computational Intelligence and Design","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCID.2011.90","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

The concept of intuitionistic fuzzy sets with parameters (IFSP) is first introduced in this paper. By analyzing the degree of hesitancy, this paper concentrates on the construction and application of intuitionistic fuzzy sets with single parameter (IFSSP). Finally, a pattern recognition example is given to demonstrate the application of IFSSP. The experimental results show that we can adjust the parameter to appropriate value to obtain the desired result, therefore, the method of IFSSP is more comprehensive and flexible than that of traditional intuitionistic fuzzy sets.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
单参数直觉模糊集及其在模式识别中的应用
本文首先引入了带有参数的直觉模糊集的概念。通过对犹豫度的分析,重点研究了单参数直觉模糊集的构造和应用。最后,给出了一个模式识别实例来说明IFSSP的应用。实验结果表明,我们可以将参数调整到合适的值以获得期望的结果,因此,IFSSP方法比传统的直觉模糊集方法更全面,更灵活。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
The Public Electromagnetic Radiation Environment Comparison between China and Germany A Linear Camera Self-calibration Approach from Four Points Applications of Bayesian Network in Fault Diagnosis of Braking Deviation System Agent-Based Modelling and Simulation System for Mass Violence Event Intuitionistic Fuzzy Sets with Single Parameter and its Application to Pattern Recognition
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1