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Conceptual framework for intelligent decision support system in emergency management

Wan Ishak, Wan Hussain and Ku-Mahamud, Ku Ruhana and Md Norwawi, Norita (2010) Conceptual framework for intelligent decision support system in emergency management. In: International Conference on Arts, Social Sciences and Technology 2010 (iCAST2010) , 24 - 26 February 2010, Gurney Hotel, Penang. (Unpublished)

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Emergency is a critical situution that emerges due to number of circumstances, typically natural disasters or technological disasters. Emergency demands immediate action from the authority and the public involved. A failure to response and making earlier decision to emergency situation could cause severe damages and possibility of loss of life. Computer application known as decision support system (DSS) has been introduced to model and support human decision making. The DSS is and interactive computer based system with the aim to assist user to make decision using available resources (information and knowledge) in a specific domain. In conjunction to DSS, an Intelligent Decision Support System (IDSS) has been introduced. IDSS is an integration of DSS and Artzficial Intelligence (AI). To date, AI techniques that demonstrate high level of machine learning quotient is constituent by computational intelligence (CI) paradigm. In this paper, the general characteristics of the emergency situations are identified and mapped with the Naturalistic Decision Model. The conceptual framework for IDSS in emergency management, particularly for reservoir operation management is proposed.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Organized by Universiti Teknologi MARA Kedah
Uncontrolled Keywords: Decision Support System, Intelligent Decision Support System, Emergency Management, Reservoir Operation Management
Subjects: Q Science > QA Mathematics > QA76 Computer software
Divisions: College of Arts and Sciences
Depositing User: Prof. Dr. Ku Ruhana Ku Mahamud
Date Deposited: 15 Aug 2011 08:07
Last Modified: 21 Jan 2013 02:15
URI: http://repo.uum.edu.my/id/eprint/3468

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