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DFL在MAS商务系统中的应用及相似度算法研究

Application and Research on Dynamic Fuzzy Logic in Multi-Agent Commerce Negotiation System
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摘要 支持多Agent商务谈判系统(Multi-Agent System,MAS),将动态模糊逻辑(DFL)技术应用到系统中,提出了基于DFL的MAS商务推理模型,实现了动态模糊数据的表示、处理和多个Agent的协作推理过程,并提出了一种改进的动态模糊相似度算法,最后总结了系统具有的一些优点.为解决多Agent商务谈判中的动态模糊问题找到了一条新的途径. According to the dynamic fuzzy characteristics of the negotiation information, DFL(dynamic fuzzy logic) technology is applied to Multi-Agent commerce negotiation system in order to support, the Multi-Agent negotiating in commerce. Data expression and processing of the dynamic fuzzy and Multi-Agent collaboration reasoning are implemented after Multi-Agent model based on dynamic fuzzy logic was introduced. An improved Dynamic Fuzzy Similarity algorithm is rendered. Finally, advantages of the system are summarized. We try to find a new way to solve the dynamic fuzzy problem in Multi-Agent commerce negotiation.
作者 韩雪
出处 《微电子学与计算机》 CSCD 北大核心 2009年第10期41-44,共4页 Microelectronics & Computer
关键词 动态模糊逻辑 动态模糊截集 多级案例相似度算法(MCSA) MAS dynamic fuzzy logic cut set of dynamic fuzzy set Multi-Level Case Similarity Measure Algorithm Multi-Agent System
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