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NetGraph: an object-oriented graphical toolset for risk assessment
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Source International conference on Industrial and engineering applications of artificial intelligence and expert systems archive
Proceedings of the 2nd international conference on Industrial and engineering applications of artificial intelligence and expert systems - Volume 1 table of contents
Tullahoma, Tennessee, United States
Pages: 119 - 125  
Year of Publication: 1989
ISBN:0-89791-320-5
Authors
Serdar Uckun  Vanderbilt Univ., Nashville, TN
Benoit Dawant  Vanderbilt Univ., Nashville, TN
Kazuhiko Kawamura  Vanderbilt Univ., Nashville, TN
Sponsor
SIGART: ACM Special Interest Group on Artificial Intelligence
Publisher
ACM  New York, NY, USA
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ABSTRACT

This article describes NetGraph, an object-oriented toolset for risk assessment applications. There are two significant aspects of NetGraph functionality. Firstly, NetGraph is a graphical knowledge acquisition tool for risk assessment, designed for robust structuring and efficient use of domain knowledge. A component library facility in NetGraph helps the domain expert to store and easily retrieve frequently encountered objects in complex systems. Time spent in designing fault trees is significantly reduced by the help of a cut/paste facility that allows the expert to easily define new fault trees by retrieving subtrees (components) of previously defined fault trees and putting them together. A second aspect of NetGraph is fault tree analysis. Fault trees designed in NetGraph can be used by either experts or operators to analyze fault behavior and probability of complex systems. A hypertext interface is also being developed to provide efficient communication of risks to individuals.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
Biswas 1988
G. Biswas, K. A. Debelak and K. Kawamura. Applications of Qualitative Modeling to Knowledge-Based Risk Assessment Studies. Vanderbilt University Department of Computer Science Technical Report CS-88-11, 1988.
 
Dhillon 1981
B. S. Dhillon and C. Singh. Engineering Reliability: New Techniques and Applications. John Wiley and Sons, New York, 1981.
 
Goldberg 1984
 
Hauptmanns 1988
U. Hauptmanns. Fault Tree Analysis for Process Plants, in: Engineering Risk and Hazard Assessment, Volume 1, A. Kandel and E. Avni, eds. CRC Press, Inc., Boca Raton, FL., 1988.
 
Knowledge Systems Corp. 1987
NodeGraph- 80TM Version 1.0 User Manual. Knowledge Systems Corporation, 1987.
 
Malasky 1982
S. W. Malasky. System Safety: Technology and Application. Garland STMP Press, New York and London, 1982.
 
Silber 1988
J. Silber, S. Uckun, K. Kawamura and S. Ozaki. Development of a Generic Knowledge-Based Risk Assessment System. Annual Meeting of the Society for Risk Analysis, Washington, D. C., 1988.
 
Stefik 1985

Collaborative Colleagues:
Serdar Uckun: colleagues
Benoit Dawant: colleagues
Kazuhiko Kawamura: colleagues