  Crisis management is a complex problem raised by the scientific community
currently. Decision support systems are a suitable solution for such issues,
they are indeed able to help emergency managers to prevent and to manage crisis
in emergency situations. However, they should be enough flexible and adaptive
in order to be reliable to solve complex problems that are plunged in dynamic
and unpredictable environments. The approach we propose in this paper addresses
this challenge. We expose here a modelling of information for an emergency
environment and an architecture of a multiagent decision support system that
deals with these information in order to prevent and to manage the occur of a
crisis in emergency situations. We focus on the first level of the system
mechanism which intends to perceive and to reflect the evolution of the current
situation. The general approach and experimentations are provided here.
