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在对传统的客户支持服务系统进行分析的基础上 ,提出了一种基于智能代理的在线客户支持服务系统结构 ,并对如何运用粗糙集和神经网络理论解决系统中的智能诊断问题作了进一步的探讨 ,从而为客户提供更为有效和便捷的支持服务。
Based on the analysis of the traditional customer support service system, an online customer support service system structure based on intelligent agent is proposed, and how to use rough set theory and neural network theory to solve the intelligent diagnosis problem in the system is further Explore, so as to provide customers with more effective and convenient support services.