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

Authors: Boudjellali Latifa; Taghezout Noria; Benkaddour Fatima Zohra

Addresses: Laboratoire d'Informatique Oran, Departement d'informatique, Université ORAN1 Ahmed Ben Bella, Oran, Algeria ' Laboratoire d'Informatique Oran, Departement d'informatique, Université ORAN1 Ahmed Ben Bella, Oran, Algeria ' Laboratoire d'Informatique Oran, Departement de Sciences Exactes, Ecole Normale Supérieure d'Oran (ENSO), Oran, Algeria

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.

Keywords: intelligent decision support system; IDSS; disasters management; case-based reasoning; CBR; disasters ontology; videoconferencing; ORSEC plan.

DOI: 10.1504/IJCAET.2022.122147

International Journal of Computer Aided Engineering and Technology, 2022 Vol.16 No.3, pp.283 - 305

Received: 04 Dec 2018
Accepted: 28 Jun 2019
Published online: 11 Apr 2022 *