Recognizing need, however, would require lymphocytes to gather information on the relatedness of parasite antigens – e.g., during co-infections, or comparing remembered to current antigens – to generate the optimal imprecision for a given context.
In this study, a fuzzy-RPNs-based method integrating weighted least square method, the method of imprecision and partial ranking method is proposed to generate more accurate fuzzy RPNs and ensure to be robust against the uncertainty.
Crop breeding pipelines can be hampered by the imprecision and multi-generational timeframe of methods such as intercrossing and stochastic mutagenesis used to generate variation.
This study aimed to evaluate the imprecision and bias data generated for 20 routine chemistry analytes against both the biological variation fitness for purpose (FFP) and Sigma metrics (SM) criteria.
Thus, the 3' end polymorphism of miR-19b and miR-29a is more likely generated after Drosha/Dicer processing, not due to imprecision of Drosha/Dicer processing.
But one of the main shortcomings of this method is that it is unable to address the uncertainty and the imprecision of the decision makers in generating the pairwise comparison matrixes.
By measuring the rank imprecision and the rank correlation between the rank lists generated by simulation results via SIR and the ones generated by centrality measures, it shows that in general the weight neighborhood centrality can rank the spreading ability of nodes more accurately than its benchmark centrality, especially when using the degree k or coreness ks as the benchmark centrality.
The use of MI, such as that implemented by Royston and colleagues in the statistical software package Stata, has the potential to create a complete dataset that combines the predictions generated by the above methods, and makes an allowance for the imprecision of these predictions that is carried through to the final statistical analyses [ 14].
26 To address this potential concern in cases in which our meta-analysis suggests benefit but the sample size is less than the optimal information size (OIS: the number of patients generated by a conventional sample size calculation for a single trial), we will rate down the quality for imprecision.
This paper focuses on generating the optimal solutions of the solid transportation problem under fuzzy environment, in which the supply capacities, demands and transportation capacities are supposed to be type-2 fuzzy variables due to the instinctive imprecision.
