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模糊离散事件系统在信息服务系统中的应用
引用本文:张颖,邵世煌.模糊离散事件系统在信息服务系统中的应用[J].上海交通大学学报,2006,40(11):1901-1906.
作者姓名:张颖  邵世煌
作者单位:1. 上海海事大学,信息工程学院,上海,200135
2. 东华大学,信息科学与技术学院,上海,200051
摘    要:用模糊离散事件系统(FDES)从离散事件的角度去描述一类包含所谓“具有确定性的不确定/模糊”问题、与人的主观观察/判断密切相关的复杂系统.将信息服务系统分为若干个自主智能实体———Agent,提出了Agent服务状态的概念.根据信息服务过程中的一些辅助观测量,评判Agent系统当前的服务状态,用基于规则的FDES去描述各种服务状态之间的转化行为,并构造FDES监督控制器,使Agent的服务状态始终得到有效调控,起到了合理利用有限资源、保持负载平衡、防止请求任务阻塞等作用,提升了Agent的服务状态品质.通过在纺织行业信息服务平台中的应用,证明了该方法的有效性.

关 键 词:模糊离散事件系统  信息服务系统  模糊规则  监督控制
文章编号:1006-2467(2006)11-1901-06
收稿时间:2005-12-09
修稿时间:2005年12月9日

The Application of Fuzzy Discrete Event Systems in Information Service System
ZHANG Ying,SHAO Shi-huang.The Application of Fuzzy Discrete Event Systems in Information Service System[J].Journal of Shanghai Jiaotong University,2006,40(11):1901-1906.
Authors:ZHANG Ying  SHAO Shi-huang
Institution:1. College of Information Eng. , Shanghai Maritime Univ. , Shanghai 200135, China; 2. College of Information Science and Technology, Donghua Univ. , Shanghai 200051, China
Abstract:Fuzzy discrete event systems(FDES) can effectively represent a kind of complicated systems involving deterministic uncertainties and vagueness as well as human subjective observation and judgement from the view of discrete events.Here the information system is divided into some independent intelligent entitative Agents,the concept of service state based on Agents was proposed,the service state of Agent can be judged by some assistant observation parameters during the service process,and the transforming between these service states can be represented by FDES based on rules,finally the supervisory controller of FDES was constructed,the service state can be adjusted all the time during the process according to the control policies,it has the limited resource of the system utilized effectively,keeps the load balance and prevents the jam-up of tasks for access requirement,meanwhile the index of service state is improved.The result of its application on textile information service platform illustrates the validity of the supervisory adjustment.
Keywords:fuzzy discrete event systems(FDES)  information service system  fuzzy rule  supervisory control
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