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Learning From Fails in Crisis Management: Case of Stress Impact

Sammy Teffali 1 Nada Matta 1 Eric Chatelet 2
1 Tech-CICO - TECHnologies pour la Coopération, l’Interaction et les COnnaissances dans les collectifs
ICD - Institut Charles Delaunay, CNRS - Centre National de la Recherche Scientifique : FRE2732
Abstract : A crisis is a complex situation, which actors have some difficulties to manage it. They are under stress to deal with problems that they cannot predict consequences. The human conditions (familial and life) and, the influence of the environment (politic, economic, media) pushes the actors to lose control of the crisis situation. The question we face in this paper is: “is it possible to predict fails action under the impact of the stress in this type of situation and to correct it?” Our main hypothesis to answer is representing fails actions using the experience feedback and the knowledge management. To model the crisis management as systemic system emphasizing regulation loops, and the collaboration activity by showing the dimension of the communication, coordination, and cooperation. This modeling is illustrated on a terrorist attack situation in Algeria. To predict actions consequence of the stress and their corrective, Fuzzy set principle is adopted, based on experience feedback and situations modeling.
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https://hal-utt.archives-ouvertes.fr/hal-02330636
Contributor : Jean-Baptiste Vu Van <>
Submitted on : Thursday, October 24, 2019 - 10:06:30 AM
Last modification on : Wednesday, May 20, 2020 - 12:04:02 PM

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Sammy Teffali, Nada Matta, Eric Chatelet. Learning From Fails in Crisis Management: Case of Stress Impact. 2018 14th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD), Jul 2018, Huangshan, China. pp.806-814, ⟨10.1109/FSKD.2018.8687304⟩. ⟨hal-02330636⟩

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