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Environmental radiological assessments rely heavily on the use of mathematical models. The predictions of these models are inherently uncertain because these models are inexact representations of real systems. The major sources of this uncertainty are related to biases in model formulation and...
Persistent link: https://www.econbiz.de/10009435418
Concentrations of environmental pollutants tend to follow positively skewed frequency distributions. Two such density functions are the gamma and lognormal. Minimum variance unbiased estimators of the expected value for both densities are available. The small sample statistical properties of...
Persistent link: https://www.econbiz.de/10009435692
Quantification of uncertainty in predictions of nuclear waste repository performance is a requirement of Nuclear Regulatory Commission regulations governing the licensing of proposed geologic repositories for high-level radioactive waste disposal. One of the major uncertainties in these...
Persistent link: https://www.econbiz.de/10009436267
This paper describes a project that extends the multiple objective decision support system (MODSS) by offering knowledge-based guidance to an intelligent multiple objective decision support system (IMODSS). This IMODSS integrates expert system (ES), multiple objective decision-making (MODM)...
Persistent link: https://www.econbiz.de/10009434929
The design of any information management system (IMS) requires a clear strategy for its integration into the environment for which it is intended. Information management has been addressed in the objectives and plans of the Government of Uganda since independence in 1962, with varying degrees of...
Persistent link: https://www.econbiz.de/10009457737