Sugeno模糊推理系统在羊奶库存确定中的应用

Windah Sahara, Eka Irawan, Heru Satria Tambunan, H. Okprana, Y. Purba
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引用次数: 1

摘要

羊奶是社区交易的牛奶之一,因为羊奶有很多好处,对身体健康有好处,可以防止老年骨骼损伤。Thalebkawnhinca农场是一家以每升和每包羊奶为单位进行交易的企业。羊奶供应不稳定导致消费者需求无法得到满足,阻碍了羊奶的销售。因此,本研究旨在基于2021年4月的牛奶需求和销售数据,应用模糊逻辑和Sugeno方法确定Thalebkawanhinca农场的羊奶供应量。根据羊奶的需求和销售数据,如果已知需求为90升,销售为75升,必须增加的羊奶供应量为25.1953125升。这项研究的结果是实施了一个牛奶供应系统,该系统可用于确定并向Thalebkawanhinca农场的所有者提供羊奶供应量的信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application Of Sugeno's Fuzzy Inference System In Determining Inventory Goat Milk
Goat milk is one of the milk that is traded by the community because this milk has many benefits that are good for the health of the body and prevent bone damage in old age. Thalebkawnhinca Farm is a business that trades goat's milk both per liter and per pack. The erratic supply of goat's milk causes consumer demand cannot be fulfilled and the milk sales process becomes hampered. Therefore, this study aims to apply fuzzy logic with the Sugeno method in determining the amount of goat milk supply at Thalebkawanhinca Farm based on data on demand and sales of milk in April 2021. Based on data on demand and sales of goat's milk, the amount of milk supply that must be added if known demand of 90 liters and sales of 75 liters amounted to 25.1953125 liters. The result of this research is the implementation of a milk supply system that can be used in determining and providing information on the amount of goat's milk supply to the owner of the Thalebkawanhinca Farm.
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