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Enhancing ADSL customer satisfaction with fuzzy expert system case study: Chiang-Rai, Thailand

机译:通过模糊专家系统案例研究提高ADSL客户满意度:泰国清莱

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Customer satisfaction of ADSL internet service provider could be improved easily by using fuzzy expert system. The researcher developed application that used fuzzy technology for ADSL Internet Service Provider in Chiang-Rai, Thailand. The application read Signal Noise Ratio (SNR) and Attenuation values from each customer' ADSL router and use these two values as input of fuzzy expert system. The software used principle of fuzzy sets and Mamdani inference method to get final answer of which support level should the ISP provide to each customer at a time. There were 3 levels of service order, level 1 - do nothing (normal situation), level 2 - remote fix (not severe situation) and level 3 - on-site fix (severe situation). By routine checking, the application could report about ADSL situation of each customer. If support level was 3, the technicians in charge would be alerted automatically by SMS and Email with detail of that customer, so they could visit customer site immediately. By using this system, all stakeholders, such as customers, managements, technicians and specialists were satisfied since it could warn beforehand so technicians could fix fast and the maintenance cost was low.
机译:使用模糊专家系统可以轻松地提高ADSL互联网服务提供商的客户满意度。研究人员开发了将模糊技术用于泰国清莱ADSL互联网服务提供商的应用程序。该应用程序从每个客户的ADSL路由器读取信号噪声比(SNR)和衰减值,并将这两个值用作模糊专家系统的输入。该软件使用模糊集原理和Mamdani推理方法来最终确定ISP应该一次为每个客户提供的支持级别。服务订单分为3个级别:第1级-不执行任何操作(正常情况),第2级-远程修复(不是严重情况)和第3级-现场修复(严重情况)。通过常规检查,应用程序可以报告每个客户的ADSL情况。如果支持级别为3,则SMS和Email会自动向主管技术人员发出有关该客户详细信息的警报,以便他们可以立即访问客户站点。通过使用该系统,所有利益相关者(例如客户,管理人员,技术人员和专家)都感到满意,因为它可以事先发出警告,从而使技术人员可以快速修复并且维护成本低。

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