模糊方法Mamdani和Sugeno方法的应用

Khaerunissa Muflihunna, M. Mashuri
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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。
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.
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