利用模糊逻辑增强被动RFID客户服务

Junjie Chen, Jinghan Liang, Q. Liang, Wei Wang, Baoju Zhang
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引用次数: 1

摘要

当顾客携带“好客”卡(超高频无源RFID标签)进入商场时,RFID阅读器可以识别标签并获取顾客的个人信息。还可以使用从RFID标签返回给RFID阅读器的反映的RSSI值来获得客户的位置。这些信息可以帮助售货员为顾客提供适当的服务。本文提出了一种基于RFID的模糊逻辑系统(FLS)客户服务增强方案。使用三个先行词:客户到相应区域销售人员的距离,客户的步行速度和客户接受推荐的可能性。27条FLS规则是基于这三个先行词建立的。FLS的输出提供了相应区域的销售助理为客户提供适当服务的服务可能性。如果顾客距离业务员较近,行走速度较慢,接受推荐的可能性较高,则业务员提供服务的可能性较强。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Passive RFID customer service enhancement using fuzzy logic
When customers who carry their “Hospitality” cards (UHF passive RFID tags) enter the shopping malls, the RFID reader can identify the tags and get the customers' personal information. The position of the customer can also be obtained using the reflected RSSI value returned to the RFID reader from the RFID tag. These information can help sales assistants to provide proper service to customers. In this paper, we propose an enhancement scheme for customer service using fuzzy logic system (FLS) using RFID. Three antecedents are used: the distance of a customer to the corresponding area's salesman, the walking speed of the customer and the possibility that the customer accepts recommendation. 27 FLS rules are set up based on these three antecedents. The output of the FLS provides the service possibility that the sales assistant at the corresponding area will provide proper service to the customer. If a customer is near to the salesman, the walking speed is slow and the possibility of acceptance of recommendation is high, then the possibility that the salesman provides service is strong.
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