Conceptual framework for intelligent decision support system in emergency management

• Main Authors: Wan Ishak, Wan Hussain, Ku-Mahamud, Ku Ruhana, Md Norwawi, Norita
• 格式: Conference or Workshop Item
• 语言: English
• 出版: 2010
• 主题: QA76 Computer software
• 在线阅读: http://repo.uum.edu.my/3468/1/WH11.pdf; http://repo.uum.edu.my/3468/

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.