Title :
Hierarchical holographic modeling for risk identification in complex systems
Author :
Haimes, Yacov Y. ; Lambert, Jim ; Li, Dum ; Schooff, Rich ; Tulsiani, Vijay
Author_Institution :
Center for Risk Manage. of Eng. Syst., Virginia Univ., Charlottesville, VA, USA
Abstract :
Describes an application of hierarchical holographic modeling (HHM) to risk identification in a process for the acquisition of a large-scale data retrieval and management system. The HHM provided an efficient means to examine the scope and depth of the analysts´ and the program managers´ understanding, and gaps in understanding, of risk issues in the database acquisition. Statistical analysis building on the HHM added insight to information collected from interviews and program documents
Keywords :
database management systems; hierarchical systems; information retrieval systems; risk management; software management; statistical analysis; systems analysis; very large databases; complex systems; database system acquisition; hierarchical holographic modeling; interviews; large-scale data management system; large-scale data retrieval system; program documents; program managers´ understanding; risk identification; statistical analysis; system analysts´ understanding; Databases; Holography; Information retrieval; Large-scale systems; Law; Legal factors; Risk analysis; Risk management; Statistical analysis; Systems engineering and theory;
Conference_Titel :
Systems, Man and Cybernetics, 1995. Intelligent Systems for the 21st Century., IEEE International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-2559-1
DOI :
10.1109/ICSMC.1995.537904
