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

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.
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https://hal-utt.archives-ouvertes.fr/hal-02652183
Contributor : Daniel Gavrysiak <>
Submitted on : Friday, May 29, 2020 - 6:29:58 PM
Last modification on : Saturday, May 30, 2020 - 3:37:31 AM

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Pan-Jing Li, Xian-Sheng Qin, Kondo Adjallah, Benoit Eynard, Jay Lee. Cooperative Decision Making for Diagnosis of Complex System based on Game Theory: Survey and an Alternative Scheme. 2006 IEEE International Conference on Industrial Informatics, Aug 2006, Singapore, Singapore. pp.725-730, ⟨10.1109/INDIN.2006.275651⟩. ⟨hal-02652183⟩

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