基于粗糙集的消费者品牌偏好预测方法

Nan Cui, Qingan Cui
{"title":"基于粗糙集的消费者品牌偏好预测方法","authors":"Nan Cui, Qingan Cui","doi":"10.1109/IWISA.2009.5072671","DOIUrl":null,"url":null,"abstract":"Understanding how certain media types affect consumers' preference for foreign brands is a major concern for managers of Multinational Corporations to make better media choices in advertising campaigns. However, little research has been conducted to facilitate managers' decision. A rough set based approach to predict consumers' preference for foreign and domestic brands in their purchasing decisions is proposed. Using data collected from a large scale survey, a case study is conducted to illustrate the application and advantages of the proposed approach.","PeriodicalId":6327,"journal":{"name":"2009 International Workshop on Intelligent Systems and Applications","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2009-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A Rough-Set Based Approach to Predict Consumers' Brand Preference\",\"authors\":\"Nan Cui, Qingan Cui\",\"doi\":\"10.1109/IWISA.2009.5072671\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Understanding how certain media types affect consumers' preference for foreign brands is a major concern for managers of Multinational Corporations to make better media choices in advertising campaigns. However, little research has been conducted to facilitate managers' decision. A rough set based approach to predict consumers' preference for foreign and domestic brands in their purchasing decisions is proposed. Using data collected from a large scale survey, a case study is conducted to illustrate the application and advantages of the proposed approach.\",\"PeriodicalId\":6327,\"journal\":{\"name\":\"2009 International Workshop on Intelligent Systems and Applications\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-05-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 International Workshop on Intelligent Systems and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IWISA.2009.5072671\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Workshop on Intelligent Systems and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IWISA.2009.5072671","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

摘要

了解某些媒体类型如何影响消费者对外国品牌的偏好是跨国公司经理在广告活动中做出更好的媒体选择的主要关注点。然而,很少有研究来促进管理者的决策。提出了一种基于粗糙集的方法来预测消费者在购买决策中对国外和国内品牌的偏好。通过一个大规模的调查数据,通过一个案例来说明该方法的应用和优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Rough-Set Based Approach to Predict Consumers' Brand Preference
Understanding how certain media types affect consumers' preference for foreign brands is a major concern for managers of Multinational Corporations to make better media choices in advertising campaigns. However, little research has been conducted to facilitate managers' decision. A rough set based approach to predict consumers' preference for foreign and domestic brands in their purchasing decisions is proposed. Using data collected from a large scale survey, a case study is conducted to illustrate the application and advantages of the proposed approach.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信