Hierarchical holographic modeling for risk identification in complex systems

Yacov Y. Haimes; Jim Lambert; Duan Li; Rich Schooff; Vijay Tulsiani

doi:10.1109/icsmc.1995.537904

Hierarchical holographic modeling for risk identification in complex systems

Yacov Y. Haimes
, Jim Lambert
, Duan Li
, Rich Schooff
, Vijay Tulsiani

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

20 Citations (Scopus)

Abstract

We describe 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.

Original language	English
Title of host publication	1995 IEEE International Conference on Systems, Man and Cybernetics - Intelligent Systems for the 21st Century
Publisher	IEEE
Pages	1027-1032
Volume	2
ISBN (Print)	0-7803-2559-1 , 0-7803-2560-5
DOIs	https://doi.org/10.1109/icsmc.1995.537904
Publication status	Published - Oct 1995
Externally published	Yes
Event	1995 IEEE International Conference on Systems, Man and Cybernetics: "Intelligent Systems for the 21st Century" - Vancouver, British Columbia , Canada Duration: 22 Oct 1995 → 25 Oct 1995

Conference

Conference	1995 IEEE International Conference on Systems, Man and Cybernetics
Place	Canada
City	Vancouver, British Columbia
Period	22/10/95 → 25/10/95

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10.1109/icsmc.1995.537904

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@inproceedings{43500d9a789642a190165bbcb3c7ca3f,

title = "Hierarchical holographic modeling for risk identification in complex systems",

abstract = "We describe 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.",

author = "Haimes, \{Yacov Y.\} and Jim Lambert and Duan Li and Rich Schooff and Vijay Tulsiani",

year = "1995",

month = oct,

doi = "10.1109/icsmc.1995.537904",

language = "English",

isbn = "0-7803-2559-1 ",

volume = "2",

pages = "1027--1032",

booktitle = "1995 IEEE International Conference on Systems, Man and Cybernetics - Intelligent Systems for the 21st Century",

publisher = "IEEE",

address = "United States",

note = "1995 IEEE International Conference on Systems, Man and Cybernetics : {"}Intelligent Systems for the 21st Century{"} ; Conference date: 22-10-1995 Through 25-10-1995",

}

Haimes, YY, Lambert, J, Li, D, Schooff, R & Tulsiani, V 1995, Hierarchical holographic modeling for risk identification in complex systems. in 1995 IEEE International Conference on Systems, Man and Cybernetics - Intelligent Systems for the 21st Century. vol. 2, IEEE, pp. 1027-1032, 1995 IEEE International Conference on Systems, Man and Cybernetics, Vancouver, British Columbia , Canada, 22/10/95. https://doi.org/10.1109/icsmc.1995.537904

Hierarchical holographic modeling for risk identification in complex systems. / Haimes, Yacov Y.; Lambert, Jim; Li, Duan et al.
1995 IEEE International Conference on Systems, Man and Cybernetics - Intelligent Systems for the 21st Century. Vol. 2 IEEE, 1995. p. 1027-1032.

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - Hierarchical holographic modeling for risk identification in complex systems

AU - Haimes, Yacov Y.

AU - Lambert, Jim

AU - Li, Duan

AU - Schooff, Rich

AU - Tulsiani, Vijay

PY - 1995/10

Y1 - 1995/10

N2 - We describe 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.

AB - We describe 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.

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U2 - 10.1109/icsmc.1995.537904

DO - 10.1109/icsmc.1995.537904

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 0-7803-2559-1

SN - 0-7803-2560-5

VL - 2

SP - 1027

EP - 1032

BT - 1995 IEEE International Conference on Systems, Man and Cybernetics - Intelligent Systems for the 21st Century

PB - IEEE

T2 - 1995 IEEE International Conference on Systems, Man and Cybernetics

Y2 - 22 October 1995 through 25 October 1995

ER -

Hierarchical holographic modeling for risk identification in complex systems

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