{"title":"基于学习模糊元胞自动机模型的企业产品需求预测。案例研究:百日香精制药公司","authors":"M. Golchin","doi":"10.1109/KBEI.2019.8735063","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":339990,"journal":{"name":"2019 5th Conference on Knowledge Based Engineering and Innovation (KBEI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Companies Products Demands Forecasting using Learning Fuzzy Cellular Automata Model. Case Study: Barij Essence Pharmaceutical Company\",\"authors\":\"M. Golchin\",\"doi\":\"10.1109/KBEI.2019.8735063\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":339990,\"journal\":{\"name\":\"2019 5th Conference on Knowledge Based Engineering and Innovation (KBEI)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 5th Conference on Knowledge Based Engineering and Innovation (KBEI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/KBEI.2019.8735063\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 5th Conference on Knowledge Based Engineering and Innovation (KBEI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/KBEI.2019.8735063","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Companies Products Demands Forecasting using Learning Fuzzy Cellular Automata Model. Case Study: Barij Essence Pharmaceutical Company
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.
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