Latent effects decision analysis
Abstract
Latent effects on a system are broken down into components ranging from those far removed in time from the system under study (latent) to those which closely effect changes in the system. Each component is provided with weighted inputs either by a user or from outputs of other components. A non-linear mathematical process known as `soft aggregation` is performed on the inputs to each component to provide information relating to the component. This information is combined in decreasing order of latency to the system to provide a quantifiable measure of an attribute of a system (e.g., safety) or to test hypotheses (e.g., for forensic deduction or decisions about various system design options).
- Inventors:
-
- Albuquerque, NM
- Issue Date:
- Research Org.:
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 982796
- Patent Number(s):
- 6782372
- Application Number:
- 09/675,900
- Assignee:
- Sandia Corporation (Albuquerque, NM)
- Patent Classifications (CPCs):
-
G - PHYSICS G06 - COMPUTING G06Q - DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES
- DOE Contract Number:
- AC04-94AL85000
- Resource Type:
- Patent
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 97 MATHEMATICS AND COMPUTING
Citation Formats
Cooper, J Arlin, and Werner, Paul W. Latent effects decision analysis. United States: N. p., 2004.
Web.
Cooper, J Arlin, & Werner, Paul W. Latent effects decision analysis. United States.
Cooper, J Arlin, and Werner, Paul W. Tue .
"Latent effects decision analysis". United States. https://www.osti.gov/servlets/purl/982796.
@article{osti_982796,
title = {Latent effects decision analysis},
author = {Cooper, J Arlin and Werner, Paul W},
abstractNote = {Latent effects on a system are broken down into components ranging from those far removed in time from the system under study (latent) to those which closely effect changes in the system. Each component is provided with weighted inputs either by a user or from outputs of other components. A non-linear mathematical process known as `soft aggregation` is performed on the inputs to each component to provide information relating to the component. This information is combined in decreasing order of latency to the system to provide a quantifiable measure of an attribute of a system (e.g., safety) or to test hypotheses (e.g., for forensic deduction or decisions about various system design options).},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2004},
month = {8}
}
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