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Cloud-Based Intelligent DSS Design for Emergency Professionals

Miah, Shah Jahan (2012) Cloud-Based Intelligent DSS Design for Emergency Professionals. In: Multidisciplinary Computational Intelligence Techniques : Applications in Business, Engineering, and Medicine. Ali, Shawkat and Abbadeni, Noureddine and Batouche, Mohamed, eds. IGI Global, Hershey, Pennsylvania, pp. 47-60.

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Abstract

Computational Intelligence (CI) has become a well-established research field of computer science in which multi-disciplinary problems are studied to design an effective computing solution. As a known computer-based CI approach, decision support systems (DSS) has gained popularity as a computing solution to structured and unstructured problems in organizations’ managerial improvement. DSS design needs to meet the domain-specific demands of emergency professionals on both an on-site and a real-time basis using the support of the most up-to-date technological provisioning platform. The advantages of cloud computing may offer promising support (e.g. Internet or web-based provisioning) for DSS services to meet the emergency professionals’ decision needs. This chapter introduces require - ments of a cloud-based CI approach for domain-specific decision support through the functionalities on an anywhere and anytime basis. The chapter highlights the context of intelligent DSS design in terms of support in determining the priorities of taking action, both for medical emergency professionals and natural disasters workers, as potential application areas identified in this study.

Item Type: Book Section
ISBN: 9781466618305 (print) 9781466618312 (ebook)
Uncontrolled Keywords: ResPubID25967, ResPubID26473, disaster management, cloud computing
Subjects: FOR Classification > 1117 Public Health and Health Services
SEO Classification > 970108 Expanding Knowledge in the Information and Computing Sciences
Faculty/School/Research Centre/Department > College of Business
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Depositing User: Yimin Zeng
Date Deposited: 20 Nov 2013 02:29
Last Modified: 05 Jul 2016 23:48
URI: http://vuir.vu.edu.au/id/eprint/22149
DOI: 10.4018/978-1-4666-1830-5.ch004
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