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Author (up) Sammy Abdelghani Teffali; Nada Mattta; Eric Chatelet pdf  isbn
  Title Generating Crisis Situation by Using Ontology and Fuzzy Theory Type Conference Article
  Year 2019 Publication Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management Abbreviated Journal Iscram 2019  
  Volume Issue Pages  
  Keywords Crisis, Fuzzy Theory, Ontology, Stress.  
  Abstract A crisis is a complex situation, difficult to manage by the actors. Some of them are under stress it is difficult to

deal with problems when consequences cannot be predict. The human conditions (concerning familial and life)

and, the influence of the environment related to politics, economic, and media pushe the actors to lose control of

the crisis situation. The question we face in this paper is: ?is it possible to use the fuzzy theory for predicting the

stress impact in crisis?? 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.
  Address University of technology of troyes, France  
  Corporate Author Thesis  
  Publisher Iscram Place of Publication Valencia, Spain Editor Franco, Z.; González, J.J.; Canós, J.H.  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 978-84-09-10498-7 Medium  
  Track T10- Knowledge, Semantics and AI for RISK and CRISIS management Expedition Conference 16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019)  
  Notes Approved no  
  Call Number Serial 1852  
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