Authors:
Sammy Teffali
;
Nada Matta
and
Eric Châtelet
Affiliation:
Université de Technologie de Troyes, 12 rue Marie Curie, 10300 Troyes and France
Keyword(s):
Crisis Management, Stress, Knowledge, Learning, Experience Feedback, Fuzzy Sets.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Communication, Collaboration and Information Sharing
;
Knowledge Management and Information Sharing
;
Knowledge Management Projects
;
Knowledge-Based Systems
;
Learning Organization & Organizational Learning
;
Symbolic Systems
;
Tools and Technology for Knowledge Management
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 stress impact situations based on experience feedback?” “Is it possible to use this type of prediction for learning?” Our main hypothesis to represent experience feedback in a situation prediction in order to show negative consequences and correctness actions is taken account. Fuzzy theory concept is used in prediction in order to generate several situations and allow learners to explore different options.