Cooperative Decision Making for Diagnosis of Complex System based on Game Theory: Survey and an Alternative Scheme

Pan-Jing Li, X. Qin, K. Adjallah, B. Eynard, J. Lee
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引用次数: 7

Abstract

Fault detection and diagnosis (FDD) is a decision problem. Game theory as part of economic theory was first articulated in 1944 and has since become an interdisciplinary approach to the study of human behavior, interaction, and decision-making. For the interest may be brought forth, by introducing game theory into FDD domain, we present a literature survey on this topic within the view of information fusion. After the general introduction on the topics of FDD, game theory and information. Fusion, we put forward the problem statement. Based on the analysing result of several game-theoretic approaches applied to FDD, we propose an alternative processing model and algorithm on game theory based diagnosis information fusion for complex system. At last the cooperative decision making for diagnosis of a machining center is taken as an instance to verify the feasibility of the alternative scheme.
基于博弈论的复杂系统诊断协同决策:综述与替代方案
故障检测与诊断(FDD)是一个决策问题。博弈论作为经济理论的一部分,于1944年首次提出,此后成为研究人类行为、互动和决策的跨学科方法。本文将博弈论引入FDD领域,从信息融合的角度对这一主题进行了文献综述。在对FDD、博弈论和信息论等主题进行一般性介绍之后。融合后,我们提出了问题陈述。在分析几种博弈论诊断信息融合方法的基础上,提出了一种基于博弈论的复杂系统诊断信息融合的替代处理模型和算法。最后以某加工中心诊断协同决策为例,验证了该方案的可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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