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RISS 인기검색어
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E. ZIO,R.BAZZO 한국원자력학회 2010 Nuclear Engineering and Technology Vol.42 No.4
In this paper, a procedure is developed for identifying a number of representative solutions manageable for decision-making in a multiobjective optimization problem concerning the test intervals of the components of a safety system of a nuclear power plant. Pareto Front solutions are identified by a genetic algorithm and then clustered by subtractive clustering into “families”. On the basis of the decision maker’s preferences, each family is then synthetically represented by a “head of the family” solution. This is done by introducing a scoring system that ranks the solutions with respect to the different objectives: a fuzzy preference assignment is employed to this purpose. Level Diagrams are then used to represent, analyze and interpret the Pareto Fronts reduced to the head-of-the-family solutions.
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Zio, E.,Bazzo, R. Korean Nuclear Society 2010 Nuclear Engineering and Technology Vol.42 No.4
In this paper, a procedure is developed for identifying a number of representative solutions manageable for decision-making in a multiobjective optimization problem concerning the test intervals of the components of a safety system of a nuclear power plant. Pareto Front solutions are identified by a genetic algorithm and then clustered by subtractive clustering into "families". On the basis of the decision maker's preferences, each family is then synthetically represented by a "head of the family" solution. This is done by introducing a scoring system that ranks the solutions with respect to the different objectives: a fuzzy preference assignment is employed to this purpose. Level Diagrams are then used to represent, analyze and interpret the Pareto Fronts reduced to the head-of-the-family solutions.
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Chung-Kung Lo,N. PEDRONI,E. ZIO 한국원자력학회 2014 Nuclear Engineering and Technology Vol.46 No.1
The analyses carried out within the Seismic Probabilistic Risk Assessments (SPRAs) of Nuclear Power Plants (NPPs) areaffected by significant aleatory and epistemic uncertainties. These uncertainties have to be represented and quantifiedcoherently with the data, information and knowledge available, to provide reasonable assurance that related decisions can betaken robustly and with confidence. The amount of data, information and knowledge available for seismic risk assessment istypically limited, so that the analysis must strongly rely on expert judgments. In this paper, a Dempster-Shafer Theory (DST)framework for handling uncertainties in NPP SPRAs is proposed and applied to an example case study. The maincontributions of this paper are two: (i) applying the complete DST framework to SPRA models, showing how to build theDempster-Shafer structures of the uncertainty parameters based on industry generic data, and (ii) embedding Bayesianupdating based on plant specific data into the framework. The results of the application to a case study show that the approachis feasible and effective in (i) describing and jointly propagating aleatory and epistemic uncertainties in SPRA models and (ii)providing ‘conservative’ bounds on the safety quantities of interest (i.e. Core Damage Frequency, CDF) that reflect the(limited) state of knowledge of the experts about the system of interest.
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Lo, Chung-Kung,Pedroni, N.,Zio, E. Korean Nuclear Society 2014 Nuclear Engineering and Technology Vol.46 No.1
The analyses carried out within the Seismic Probabilistic Risk Assessments (SPRAs) of Nuclear Power Plants (NPPs) are affected by significant aleatory and epistemic uncertainties. These uncertainties have to be represented and quantified coherently with the data, information and knowledge available, to provide reasonable assurance that related decisions can be taken robustly and with confidence. The amount of data, information and knowledge available for seismic risk assessment is typically limited, so that the analysis must strongly rely on expert judgments. In this paper, a Dempster-Shafer Theory (DST) framework for handling uncertainties in NPP SPRAs is proposed and applied to an example case study. The main contributions of this paper are two: (i) applying the complete DST framework to SPRA models, showing how to build the Dempster-Shafer structures of the uncertainty parameters based on industry generic data, and (ii) embedding Bayesian updating based on plant specific data into the framework. The results of the application to a case study show that the approach is feasible and effective in (i) describing and jointly propagating aleatory and epistemic uncertainties in SPRA models and (ii) providing 'conservative' bounds on the safety quantities of interest (i.e. Core Damage Frequency, CDF) that reflect the (limited) state of knowledge of the experts about the system of interest.
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Association between physiological and agronomic traits and selection of tropical wheat
Henrique Caletti Mezzomo,Cleiton Renato Casagrande,Caique Machado e Silva,Aluízio Borém,Maicon Nardino 한국작물학회 2021 Journal of crop science and biotechnology Vol.24 No.2
The aims of this study are to verify the existence of canonical correlations between physiological and agronomic traits of 40 lines of tropical wheat using the REML/BLUP (restricted maximum likelihood/best linear unbiased prediction) method and select genotypes with the best performance using four selection indexes. For such, 40 tropical wheat genotypes were evaluated in a field experiment in Viçosa, MG, Brazil. The physiological traits (group I) of these genotypes were measured using an infrared gas analyzer, group II was formed by agronomic traits. The data were submitted to REML/BLUP and the predicted genotypic values (BLUP) were obtained to estimate genotypic correlation coeffi cients, canonical correlation coeffi cients between groups I and II, and to perform the selection of superior genotypes using the method of ranks summation index, multiplicative index, genotype-ideotype distance index and Z index. The maximum likelihood test revealed a significant effect of genotypes for all traits evaluated. Net photosynthetic rate it showed a positive correlation with stomatal conductance to H 2 O (0.32) and transpiration rate (0.79). Hectoliter weight has a significant association with physiological traits, positive for intercellular CO 2 concentration (0.56) and negative for leaf temperature (− 0.56) and transpiration rate (− 0.42). The correlation between groups was 0.78. The intercellular CO 2 concentration was directly related to disease note and hectoliter weight. The lines VI 14050, VI 14197 and VI 14950 coincide in the three selection indexes, with a potential for registration as a new cultivar.
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