Companies Products Demands Forecasting using Learning Fuzzy Cellular Automata Model. Case Study: Barij Essence Pharmaceutical Company

机译：公司产品使用学习模糊元胞自动机模型进行需求预测。案例研究：Barij Essence Pharmaceutical Company

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Forecasting the demand of customers has a main role for managing the cost of marketing. Therefore, using a tool for forecasting the demand is vital for companies. There are many tools for forecasting and predicting the demand as time series. In this study a new hybrid model which contains fuzzy inference system and cellular automata has been developed. The results showed that, considering the information of more neighbor customers may cause more reliable forecasting and more complicated, fuzzy system may cause better performance for predicting the demand.

机译：预测客户需求对管理营销成本具有主要作用。因此，使用预测需求的工具对公司至关重要。有许多工具可以按时间序列预测和预测需求。在这项研究中，开发了一种新的包含模糊推理系统和元胞自动机的混合模型。结果表明，考虑更多邻居客户的信息可能会导致更可靠的预测，而更复杂的模糊系统可能会导致更好的预测需求性能。

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来源
《2019 IEEE 5th Conference on Knowledge Based Engineering and Innovation》|2019年|189-192|共4页
会议地点 Tehran(IR)
作者
Mahboobeh Golchin;
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作者单位

Department of Mathematics, Islamic Azad University, Tehran, Iran;

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会议组织
原文格式 PDF
正文语种 eng
中图分类
关键词
Forecasting; Time series analysis; Fuzzy systems; Mathematical model; Predictive models; Automata; Computational modeling;

机译：预测;时间序列分析;模糊系统;数学模型;预测模型;自动机;计算模型;;

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4. Companies Products Demands Forecasting using Learning Fuzzy Cellular Automata Model. Case Study: Barij Essence Pharmaceutical Company [C] . Mahboobeh Golchin IEEE Conference on Knowledge Based Engineering and Innovation . 2019

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Companies Products Demands Forecasting using Learning Fuzzy Cellular Automata Model. Case Study: Barij Essence Pharmaceutical Company

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