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

Volume

2

fYear

1995

fDate

22-25 Oct 1995

Firstpage

1027

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ICSMC.1995.537904

Filename

537904