医药销售模糊推理系统冢本法与杉原法之比较分析

Andalasian International Journal of Applied Science, Engineering and Technology Pub Date : 2022-04-05 DOI:10.47355/aset.v1i1.10

D. Efendi, Ferly Ardhy

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引用次数: 1

摘要

本案例研究已在印度尼西亚楠榜省Kotabumi市的药店实施，该药店销售各种类型的药物。一个药剂师在他的科学工作中需要通过预测到一个假设来确定需求量和购买量的新期限，这对增加购买量具有挑战性，并反映了银行健全的资产。使用的预测方法是从冢本和杉原的比较方法的结果中，利用九法则和对购买的绝对误差值的比较进行分析。基于Sugeno方法的购买绝对误差为0.0176%，是本研究中的最低值

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Comparative Analysis using Tsukamoto and Sugeno Methods of Fuzzy Inference System for Sales of Medicine

This case study has been implemented on the apothecary shop located at Kotabumi city at Lampung province, Indonesia that selling various types of medicine. An apothecary in his scientific efforts need by prediction to a hypothetical for determining the amount of in the demand and the purchase of the new term, which has a challenge on increasing the purchasing amount and reflected the bank sound assets. A prediction used was to analyzed from the results of the comparison a method of Tsukamoto and Sugeno by using the nine rules and comparison to the value of absolute error of the purchase. Based on a the Sugeno method, the absolute error of the purchase was 0.0176 %, which is the lowest value in the study

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Andalasian International Journal of Applied Science, Engineering and Technology

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