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Fuzzy set theory and its derivatives may be used to directly introduce imprecise data into mathematical models with minimum input data requirements (Ferson et al. 1994).
By comparison with Fig. 8a, we observe that models with minimum misfit are the same as those with negligible initial KE.
Five RC beams, comprising of three RC T-section beams with thin web and two RC rectangular beams, were tested to verify the theoretical models with minimum crack angle and total deflection as key points of comparison.
Also if we were able to repeat the study, the average prediction error based on the models with minimum AIC would be larger than optimal.
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This paper presents a new class of two-stage fuzzy material procurement planning (MPP) models with minimum-risk criteria, in which the material demand, the spot market material unit price and the spot market material supply quantity are uncertain and assumed to be fuzzy variables with known possibility distributions.
From these, the model with minimum Modeller energy was chosen as a predicted model.
The structures for the fragments and the initial seed model were fed into Modeller to generate 10 models, and the model with minimum energy was chosen as a refined model.
Finally, the model with minimum ║δ║ and highest R2 value is selected.
The compartment model with minimum AIC is regarded as the best representation of the plasma concentration time course data [10].
It seeks to generate a direct RP model with minimum number of layers based on a given shape error.
The fifth iteration gave a new model with minimum RMS of 1.87, and we take this as the second-generation model.
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