夏敬华, 葛红宇, 陆宝春, 张世琪. 协同监控和诊断中一致性求解技术研究[J]. 信息与控制, 2000, 29(4): 378-384.
引用本文: 夏敬华, 葛红宇, 陆宝春, 张世琪. 协同监控和诊断中一致性求解技术研究[J]. 信息与控制, 2000, 29(4): 378-384.
XIA Jing-hua, GE Hong-yu, LU Bao-chun, ZHANG Shi-qi. STUDY OF CONSISTENT PROBLEM SOLVING IN COOPERATIVE MONITORING AND DIAGNOSIS[J]. INFORMATION AND CONTROL, 2000, 29(4): 378-384.
Citation: XIA Jing-hua, GE Hong-yu, LU Bao-chun, ZHANG Shi-qi. STUDY OF CONSISTENT PROBLEM SOLVING IN COOPERATIVE MONITORING AND DIAGNOSIS[J]. INFORMATION AND CONTROL, 2000, 29(4): 378-384.

协同监控和诊断中一致性求解技术研究

STUDY OF CONSISTENT PROBLEM SOLVING IN COOPERATIVE MONITORING AND DIAGNOSIS

  • 摘要: 针对制造过程及设备的状态监控问题,提出了监控对象的模糊量状态空间的表示方法,在此基础上提出了一种协同一致性融合求解技术,基于监控对象的模糊量状态空间,将各求解结果一致性融合问题转化为群决策环境下的梯形模糊数表示的模糊意见的综合问题.文中最后通过FMS中加工系统状态监控的实例对算法进行了验证,证明了方法的有效和可行性.

     

    Abstract: Aiming at the state monitoring of manufacturing process and equipment, the paper presents the representation method of monitoring object's fuzzy quantity space.The paper then puts forwards a consistent problem solving technique .The consistency-identifying algorithm is discussed by adopting fuzzy set theory and defining the degree of decision similarity, and the consistent problem solving algorithm is designed by translating the consistent problem solving into the fuzzy opinion aggregation of several experts' estimates represented by trapezoidal fuzzy numbers in group decision-making environment. Finally the method is applied to the state monitoring application of FMS, whose availability and feasibility are testified.

     

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