Please use this identifier to cite or link to this item:
https://dspace.univ-ouargla.dz/jspui/handle/123456789/34438
Title: | An Intelligent Decision Support System for Risk Management |
Authors: | Hamrouni, Basma Bouhouche, Anouar Mammeri, Moatez Bellah |
Keywords: | Decision support system Artificial intelligence Risk management Case-based reasoning |
Issue Date: | 2023 |
Publisher: | University of Kasdi Merbah Ouargla |
Abstract: | Risk management related to disasters is a process that aims to identify, assess, and manage risks associated with catastrophic events. The main objective of risk management is to reduce potential human, economic, and environmental losses caused by these events. When a risk event occurs during an incident, the required actions are taken by decision makers using their own experience and knowledge. While knowledge and experience gained in past projects are very useful in identifying and managing risks in a new project, such information resides primarily in Project Managers’ minds and is seldom documented in a reusable form of information. A decision support system with a case base of previously taken actions and a record of previous risk management plans can assist managers in the risk management. Adopting a Case-Based Reasoning approach, can make more informed decisions and developing more effective strategies for preventing, managing, and responding to disasters. |
URI: | https://dspace.univ-ouargla.dz/jspui/handle/123456789/34438 |
Appears in Collections: | Département d'informatique et technologie de l'information - Master |
Files in This Item:
File | Description | Size | Format | |
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BOUBOUCHE-MAMMERI.pdf | 5,57 MB | Adobe PDF | View/Open |
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