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An intelligent decision support system based on collaboration and case-based reasoning

An intelligent decision support system based on collaboration and case-based reasoning This paper presents an intelligent decision support system as a real contribution to solving key disaster management problems. The objective is to reach the stage of collaboration and identification of the availability of human and material resources for the various modules of the emergency organisation plan. The collaborative environment supports the various actors in the process of planning and implementing disaster emergency preparation by using videoconferencing for real-time analysis and decision-making. We propose the system architecture, including several modules such as case reasoning, ontology and similarity measurement and we integrate videoconferencing to facilitate exchange on disaster information such as text, image, or video between experts. The interest is to provide an essential environment to define a structure plan, actions including an updated inventory of available resources for disaster management. Some experiments have been carried out in a province in western Algeria to evaluate the effectiveness of the proposed platform. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Computer Aided Engineering and Technology Inderscience Publishers

An intelligent decision support system based on collaboration and case-based reasoning

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Publisher
Inderscience Publishers
Copyright
Copyright © Inderscience Enterprises Ltd
ISSN
1757-2657
eISSN
1757-2665
DOI
10.1504/ijcaet.2022.122147
Publisher site
See Article on Publisher Site

Abstract

This paper presents an intelligent decision support system as a real contribution to solving key disaster management problems. The objective is to reach the stage of collaboration and identification of the availability of human and material resources for the various modules of the emergency organisation plan. The collaborative environment supports the various actors in the process of planning and implementing disaster emergency preparation by using videoconferencing for real-time analysis and decision-making. We propose the system architecture, including several modules such as case reasoning, ontology and similarity measurement and we integrate videoconferencing to facilitate exchange on disaster information such as text, image, or video between experts. The interest is to provide an essential environment to define a structure plan, actions including an updated inventory of available resources for disaster management. Some experiments have been carried out in a province in western Algeria to evaluate the effectiveness of the proposed platform.

Journal

International Journal of Computer Aided Engineering and TechnologyInderscience Publishers

Published: Jan 1, 2022

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