模糊方法Mamdani和Sugeno方法的应用

Khaerunissa Muflihunna, M. Mashuri
{"title":"模糊方法Mamdani和Sugeno方法的应用","authors":"Khaerunissa Muflihunna, M. Mashuri","doi":"10.15294/ujm.v11i1.50060","DOIUrl":null,"url":null,"abstract":"This study examines the application of the Mamdani fuzzy method and Sugeno fuzzy method in determining the amount of jenang production, based on the variables of demand, supply, raw materials and production. The purpose of this study was to apply the Mamdani fuzzy and Sugeno fuzzy methods, and to find out which method is more accurate between the two methods in determining the amount of jenang production based on the MAPE value. Data collection was obtained at PJ Menara Kudus with Jenang Kombinasi and Jenang Wijen products in January 2020 to March 2021. The results of data processing obtained MAPE values for jenang kombinasi products using the Mamdani fuzzy method is 7,5% while the Sugeno fuzzy method is 7,1%, and the MAPE value for jenang wijen product using Mamdani fuzzy method is 21,7% while the Sugeno fuzzy method is 8,2%. Based on the result obtained, the MAPE value of Sugeno fuzzy method is less than Mamdani fuzzy method. So it can be concluded that Sugeno fuzzy method more accurate than Mamdani fuzzy method in determining the amount of jenang production at PJ Menara Kudus.","PeriodicalId":30734,"journal":{"name":"UJM Unnes Journal of Mathematics","volume":"43 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Penerapan Metode Fuzzy Mamdani dan Metode Fuzzy Sugeno dalam Penentuan Jumlah Produksi\",\"authors\":\"Khaerunissa Muflihunna, M. Mashuri\",\"doi\":\"10.15294/ujm.v11i1.50060\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study examines the application of the Mamdani fuzzy method and Sugeno fuzzy method in determining the amount of jenang production, based on the variables of demand, supply, raw materials and production. The purpose of this study was to apply the Mamdani fuzzy and Sugeno fuzzy methods, and to find out which method is more accurate between the two methods in determining the amount of jenang production based on the MAPE value. Data collection was obtained at PJ Menara Kudus with Jenang Kombinasi and Jenang Wijen products in January 2020 to March 2021. The results of data processing obtained MAPE values for jenang kombinasi products using the Mamdani fuzzy method is 7,5% while the Sugeno fuzzy method is 7,1%, and the MAPE value for jenang wijen product using Mamdani fuzzy method is 21,7% while the Sugeno fuzzy method is 8,2%. Based on the result obtained, the MAPE value of Sugeno fuzzy method is less than Mamdani fuzzy method. So it can be concluded that Sugeno fuzzy method more accurate than Mamdani fuzzy method in determining the amount of jenang production at PJ Menara Kudus.\",\"PeriodicalId\":30734,\"journal\":{\"name\":\"UJM Unnes Journal of Mathematics\",\"volume\":\"43 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-05-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"UJM Unnes Journal of Mathematics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.15294/ujm.v11i1.50060\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"UJM Unnes Journal of Mathematics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.15294/ujm.v11i1.50060","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

摘要

本研究以需求、供给、原料、生产为变量,探讨Mamdani模糊法与Sugeno模糊法在确定jenang产量上的应用。本研究的目的是应用Mamdani模糊和Sugeno模糊方法,并找出两种方法中哪种方法更准确地确定基于MAPE值的jenang产量。数据收集于2020年1月至2021年3月在PJ Menara Kudus使用Jenang Kombinasi和Jenang Wijen产品进行。数据处理结果表明,采用Mamdani模糊法得到的jenang kombinasi产品的MAPE值为7.5%,而Sugeno模糊法得到的MAPE值为7.1%;采用Mamdani模糊法得到的jenang wijen产品的MAPE值为21.7%,而Sugeno模糊法得到的MAPE值为8.2%。结果表明,Sugeno模糊法的MAPE值小于Mamdani模糊法。因此,Sugeno模糊法比Mamdani模糊法更准确地确定了PJ Menara Kudus的jenang产量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Penerapan Metode Fuzzy Mamdani dan Metode Fuzzy Sugeno dalam Penentuan Jumlah Produksi
This study examines the application of the Mamdani fuzzy method and Sugeno fuzzy method in determining the amount of jenang production, based on the variables of demand, supply, raw materials and production. The purpose of this study was to apply the Mamdani fuzzy and Sugeno fuzzy methods, and to find out which method is more accurate between the two methods in determining the amount of jenang production based on the MAPE value. Data collection was obtained at PJ Menara Kudus with Jenang Kombinasi and Jenang Wijen products in January 2020 to March 2021. The results of data processing obtained MAPE values for jenang kombinasi products using the Mamdani fuzzy method is 7,5% while the Sugeno fuzzy method is 7,1%, and the MAPE value for jenang wijen product using Mamdani fuzzy method is 21,7% while the Sugeno fuzzy method is 8,2%. Based on the result obtained, the MAPE value of Sugeno fuzzy method is less than Mamdani fuzzy method. So it can be concluded that Sugeno fuzzy method more accurate than Mamdani fuzzy method in determining the amount of jenang production at PJ Menara Kudus.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
审稿时长
24 weeks
期刊最新文献
Perancangan dan Implementasi Aplikasi Kriptografi Algoritma Hill Cipher dalam Dekripsi Enkripsi Data Keuangan Nasabah Bank Sampoerna Menggunakan Kode ASCII Nilai Ketakteraturan Sisi Total pada Graf Rantai Nonagon dan Graf Rantai Nonagon dengan Sisi Pendan Penerapan Metode Fuzzy Mamdani dan Metode Fuzzy Sugeno dalam Penentuan Jumlah Produksi Nilai Ketakteraturan Sisi Total pada Graf Rantai Heptagon dan Graf Rantai Heptagon dengan Dua Sisi Pendant Long Memory Volatility Model dengan ARFIMA-HYGARCH Untuk Meramalkan Return Indeks Harga Saham Gabungan (IHSG)
×
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