On the combination of fuzzy models

Mohit Kumar, N. Stoll, K. Thurow, R. Stoll
{"title":"On the combination of fuzzy models","authors":"Mohit Kumar, N. Stoll, K. Thurow, R. Stoll","doi":"10.1109/CASE.2011.6042461","DOIUrl":null,"url":null,"abstract":"The combination of fuzzy models could be an effective way to improve system performance. This text proposes a fuzzy approach to the combination of fuzzy models, i.e., the different fuzzy models are combined using a fuzzy rule-based model. The combining fuzzy model is identified using an algorithm that is stable towards disturbances. The combination approach provides simultaneously the benefits of the individual components and thus improves overall performance. The combination scheme could be used to resolve the issue of choice of performance deciding parameters (e.g. learning rate).","PeriodicalId":236208,"journal":{"name":"2011 IEEE International Conference on Automation Science and Engineering","volume":"47 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE International Conference on Automation Science and Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CASE.2011.6042461","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

The combination of fuzzy models could be an effective way to improve system performance. This text proposes a fuzzy approach to the combination of fuzzy models, i.e., the different fuzzy models are combined using a fuzzy rule-based model. The combining fuzzy model is identified using an algorithm that is stable towards disturbances. The combination approach provides simultaneously the benefits of the individual components and thus improves overall performance. The combination scheme could be used to resolve the issue of choice of performance deciding parameters (e.g. learning rate).
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
论模糊模型的组合
模糊模型的组合是提高系统性能的有效途径。本文提出了一种模糊模型组合的模糊方法,即使用基于模糊规则的模型将不同的模糊模型组合起来。采用一种对扰动稳定的算法对组合模糊模型进行辨识。组合方法同时提供了各个组件的优点,从而提高了整体性能。该组合方案可用于解决性能决定参数(如学习率)的选择问题。
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
A unified approach for the scheduling problem with rejection Designing maximally permissive deadlock avoidance policies for sequential resource allocation systems through classification theory Modeling and analysis of care delivery services within patient rooms Feedback control of machine startup for energy-efficient manufacturing in Bernoulli serial lines On the combination of fuzzy models
×
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