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首页> 外文会议>International Conference on Cybernetics and Information Technologies, Systems and Applications(CITSA2004) and 10th International Conference on Information Systems Analysis and Synthesis(ISAS2004) vol.3 >A Price Bargaining Agent of Online Shopping Mall: Bargaining by a Fuzzy Inference System
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A Price Bargaining Agent of Online Shopping Mall: Bargaining by a Fuzzy Inference System

机译：网上商城价格议价代理：模糊推理系统议价

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摘要

In the research, a prototype system called as an ICRM (Intelligent Customer Relationship Management) agent is developed to implement the task of bargaining. To reflect the lifetime value of buyers, a fuzzy agent is developed to compute relationship degree between buyers and sellers. Relationship degree is used as a basis to decide the concession degree during a bargaining process. A web site is developed to simulate an agent with Utility Neutral Strategy (UNC), Utility Increase Strategy (UIC), Utility Decrease Strategy (UDC) and CRM strategy. More than hundred of students have joined the project and have visited the web site to do online shopping with intelligent agents. From the data analysis of customer profile, an ICRM agent can receive more effective bargaining process and higher customer loyalty.
机译：在研究中，开发了一个称为ICRM（智能客户关系管理）代理的原型系统来实现讨价还价的任务。为了反映购买者的终生价值，开发了一种模糊代理来计算购买者与销售者之间的关系度。关系程度被用作在讨价还价过程中确定特许度的基础。开发了一个网站来模拟具有实用程序中立策略（UNC），实用程序增加策略（UIC），实用程序减少策略（UDC）和CRM策略的代理。数百名学生已加入该项目，并访问了该网站以与智能代理商进行在线购物。通过对客户资料的数据分析，ICSM代理可以获得更有效的讨价还价流程和更高的客户忠诚度。

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