You are here: Home Contents V4 N2 V4N2_Asghar.html
Personal tools

MILD DSS - Conceptual Architecture, Validation and Representation



Full text

Journal of Information System Security
Volume 4, Number 2 (2008)
Pages 2655
ISSN 1551-0123
Sohail Asghar — Monash University, Australia
Damminda Alahakoon — Monash University, Australia
Leonid Churilov — Monash University, Australia
Information Institute Publishing, Washington DC, USA




The acronym MILD DSS stands for "A MultI-Layered Architecture for Disaster Management Decision Support Systems". Disaster Management can be characterized as a complex and highly multi-disciplinary area. The necessity of decision-making in disaster management often requires a decision support system to fulfil dynamic and rapidly changing decision needs. The MILD DSS is dedicated to supporting decision-making in disaster management and is designed for such applications. With the MILD DSS, a DSS developer can make use of the subroutines (decomposed from existing DSS models for disaster management) categorised on the basis of environmental characteristics, disaster dependency and common decision support needs. The goal of the MILD DSS is to produce an integrated model based on a disaster scenario. In this article the conceptual architecture, prototype implementation details, validation and representation of the MILD DSS, is presented. The MILD DSS is validated by using a case study of the Hayman Fire. In addition, we propose a model representation technique to represent the structure of the integrated model. The design of the MILD DSS improves the efficiency and reusability of decision support systems for disaster management by considering the commonalities of decision support needs and the environmental as an essential and common factor with the ability to change the severity of a disaster.




Disaster Management, Decision Support Systems




Andrews P. L. and Bradshaw L. S. (1997), "FIRES, fire Information Retrieval and Evaluation System - A Program for Fire Danger Rating Analysis". Gen. Tech. rep. INT-GTR-367. Ogden, UT: USDA For. Serv. Intermountain Research Station. 54 p., 1997.

Andrews P. L. and Chase C. H. (1989), "BEHAVE: Fire Behaviour Prediction and Fuel Modeling System". BURN Subsystem, Part 2, General Technical Report INT-260, US Department of Agriculture, Forest Services, Intermountain Research Station, Ogden, UT., 1989.

Asghar S., Alahakoon D. and Churilov L. (2005), Environmental Influences on Disaster Management. Proceedings of the 10th Annual Meeting of the Asia-Pacific Decision Sciences Institute, Taiwan, June 28 - July 2, 2005. ISBN 15391191.

Asghar S., Alahakoon D. and Churilov L. (2005), "A Dynamic Integrated Model for Disaster Management Decision Support Systems" I. J. of SIMULATION 6(10 and 11), ISSN 1473-804x online, 1473-8031): 95-114, 2005.

Asghar S., Alahakoon D. and L. C. (2006), A Modular Subroutine Selection Process Based on Needs Classification Scheme. Accepted for the Proceedings of11th Annual Conference of Asia-Pacific Decision Science Institute (APDSI 2006), June 14-18, 2006, Hong Kong.

Blanning R. (1982), "A Relational Framework for Model Management in Decision Support Systems" Decision Support Systems DSS-82 Transaction: 16-28, 1982.

Blanning R. (1986), "An Entity-Relationship Approach to Model Management" Decision Support Systems 2: 65-72, 1986.

Bu-Hulaiga M. I. and Jain H. K. (1988), Contemporary Approaches to Model Management in Decision Support Systems. Working Paper, Management Research Center, University of Wisconsin, Milwaukee, Milwaukee, 1988.

Cheney N. P. and Gould J. S. (1997), "Letter to the Editor: Fire Growth and Acceleration" Intl. J. Wild. Fire 7(7): 1-6, 1997.

Cheng M. and HoKo C. (2002), "Computer-aided DSS for Hillside Safety Monitoring" Automation in Construction 11: 453-466, 2002.

Date C. J. (1995), "An Introduction to Database Systems". 6th ed. Addison-Wesley, 1995.

Dolk D. (1986), "An Approach to Implement Model Management" Decision Support Systems 2: 73-80, 1986.

Dolk D. and Konsynski B. (1984), "Knowledge Representation for Model Management" IEEE Transactions on Software Engineering SE-10(6): 619-628, 1984.

Dutta A. and Basu A. (1984), "An Artificial Intelligence Approach to Model Management in Decision Support Systems" IEEE Computer 17(9): 89-97, 1984.

FCFDG (1992), "Development and structure of the Canadian Forest Fire Behavior Prediction System". Forestry Canada Fire Danger Group (FCFDG), Inf. Rep. ST-X-3., 1992.

Finney M. A. (1998), "FARSITE: Fire Area Simulator-Model Development and Evaluation". United States Department of Agriculture, Forest Service, Rocky Mountain Research Station, Research Paper RMRS-RP-4 Revised, March 1998., 1998.

Geoffrion A. (1987), "An Introduction to Structured Modeling" Management Sciences 33: 547-588, 1987.

Graham R. T. (2003), "Hayman Fire Case Study". Gen. Tech. Rep. RMRS-GTR-114. Ogden, UT: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. 396 p, 2003.

IEEE 2005. Natural Disaster and the Human Factor. IEEE Spectrum Magazine. 42:5, March 2005.

Lenard M. (1993), "An Object-Oriented Approach to Model Management" Decision Support Systems 9: 67-73, 1993.

Liang T. P.(1986), "Towards the Development of a Knowledge Based Model Management System". Ph. D. Dissertation, The Wharton School, University of Pennsylvania, 1986.

Main W. A., Paananen D. M. and Burgan R. E. (1990), "FIREFAMILY 1988. Gen. Tech. Rep." NC-13 8. St. Paul MN: U. S. Department of Agriculture, Forest Services, North Central Forest Experiment Station. 35 p., 1990.

McAlpine R. S. and Wakimoto R. H. (1991), "The Acceleration of Fire from Point Source to Equilibrium Spread" For. Sci. 37(5): 1314-1337, 1991.

Onate E. and Piazzese J. (2004), "RAMFLOOD Project: Decision Support System for Risk Assessment and Management of Floods." Access Date: March 2005.

Onate E. and Piazzese J. (2005), "RAMFLOOD Project: Decision Support System for Risk Assessment and Management of Floods." International Center for Numerical Methods in Engineering (CIMNE), Gran Capitán, s/n, Campus Norte UPC, 08034 Barcelona, Spain. Available: Accessed: Feb., 2005.

Pidd M., De Silva F. and Eglese R. (1996), "A Simulation Model for Emergency Evacuation" European Journal of Operational Research 90: 413-419. 1996.

Pourvakhshouri S. and Mansor S. (2003), "Decision Support System in Oil Spill Cases" Disaster Prevention and Management 12(3): 217-221, 2003.

Ramirez R., Ching C. and Louis R. (1993), "Independence and Mapping in Model-Based Decision Support Systems" Decision Support Systems 10: 341-358, 1993.

Schrage L. (1999), "Optimization Modeling with LINGO 6.0". Chicago: LINDO Systems, 1999.

Shiba N., Jima J. and Ohta K. (1999), "Model Integration for Managerial Decision support using a Model Description Language with a Formal Semantics" Cybernetics and Systems: An International Journal 30: 761-781, 1999.

Silva F. N. d. (2001), "Providing decision support for evacuation planning: a challenge in integrating technologies" Disaster Prevention and Management 10(1): 11-20, 2001.

Tufekci S. (1995), "An Integrated Emergency Management Decision Support System for Hurricane Emergencies" Safety Science 20: 39-48, 1995.

Tufekci S. and Kisko T. (1991), "Regional Evacuation Modeling System (REMS): A Decision Support System for Emergency Area Evacuations" Computers and Industrial Engineering 21(1-4): 89-93, 1991.

Wybo J. (1998), "FMIS: A Decision Support System for Forest Fire Prevention and Fighting" IEEE Transactions on Engineering Management 45(2): May 1998.