Towards a Multiagent Decision Support System for crisis Management

by   Fahem Kebair, et al.

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.



There are no comments yet.


page 1

page 2

page 3

page 4


Information Modeling for a Dynamic Representation of an Emergency Situation

In this paper we propose an approach to build a decision support system ...

A Dynamic Simulation-Optimization Model for Adaptive Management of Urban Water Distribution System Contamination Threats

Urban water distribution systems hold a critical and strategic position ...

Review on Computer Vision Techniques in Emergency Situation

In emergency situations, actions that save lives and limit the impact of...

Agent-Oriented Approach for Detecting and Managing Risks in Emergency Situations

This paper presents an agent-oriented approach to build a decision suppo...

Emergency Management Systems and Algorithms: a Comprehensive Survey

Owing to the increasing frequency and destruction of natural and manmade...

Smart Band: An Integrated Device for Emergency Management

In the event of a kidnapping or a medical emergency, a person is often i...

SAVIME: A Multidimensional System for the Analysis and Visualization of Simulation Data

Scientific applications produce a huge amount of data, which imposes ser...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.