Managing stress with experience feedback in crisis situation. Issue 2 (May 2019)

• Record Type: Journal Article
• Authors: Teffali, Sammy; Matta, Nada; Chatelet, Eric
• Editors: Matta, Nada; Mercier-Laurent, Eunika; Carrillo, Tatiana Reyes; Boulanger, Danielle
• Is Part Of: AI EDAM. Volume 33:Issue 2(2019)
• Page Start: 206
• Page End: 225
• Publication Date: 2019-05
• Subjects: Crisis, -- crisis management, -- experience feedback, -- fuzzy sets, -- regulation, -- stress; Engineering design -- Data processing -- Periodicals; Artificial intelligence -- Periodicals; Expert systems (Computer science) -- Periodicals; 620.00420285
• DOI: 10.1017/S0890060419000106
• Languages: English
• ISSNs: 0890-0604

Abstract

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 the impact of the stress in this type of situation?" Our main hypothesis to answer is to represent experience feedback using 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 in a terrorist attack situation in Algeria. To predict stress consequences, fuzzy set principle is adopted, based on experience feedback and situations modeling, as a generator of alternative states given a stress event.