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Liu, Q.
Opereshonzu, Risachi, 55(10), p.622 - 626, 2010/10
FAST (Fourier Amplitude Sensitivity Test) is the earliest global sensitivity analysis method aiming at quantifying the contribution of the uncertainties in the model inputs to the uncertainty in the model output. The mechanism of FAST is to assign each model input with a characteristic frequency through a periodic search function. Then, for a specific model input, its contribution to the variance of the model output can be singled out by the characteristic frequency based on fourier analysis. FAST is computationally very efficient and is used widespread nowadays. In this work, the theory and the computational method of FAST are described in detail. It is hoped that this work will promote the application of FAST in the field of decision-making under uncertainty.
Koda, Masato*; Homma, Toshimitsu
Opereshonzu, Risachi, 55(10), p.613 - 621, 2010/10
no abstracts in English
Homma, Toshimitsu
Opereshonzu, Risachi, 55(10), p.627 - 631, 2010/10
no abstracts in English
Shiotani, Hiroki
Opereshonzu, Risachi, 53(4), p.210 - 216, 2008/04
Recently, A project, which is called "FaCT project", has been initiated which aims to the deployment of fast breede reactor(FR) cycle system. Adding to the element technologies development and the demonstration of the innovative technologies through equipment tests, synthetic evaluation methodologies of FR cycle system including scenario study, DCF method, Analytic Hierarchical Process, real options approach, supply chain management, etc. are under development. It is necessary for many people to make a large scale long-term efforts to deploy FR cycles; and more utilization of OR is expected for deriving the benefits from the modeling of the nuclear energy systems and the knowledge management of them.
