As is often the case when considering different methods for analyzing a dataset, there are advantages and disadvantages to each.
Furthermore, the obtained results are compared with those obtained considering different methods for obtaining non-inferior solutions, such as weighted sum method, evolutionary programming-based interactive fuzzy satisfying method, differential evolution, particle swarm optimization and hybrid multi-objective cultural algorithm.
It would be easy to conclude from this that impact factor therefore also reflects non-citation and it is unnecessary to consider different methods of ranking journals.
Due to differences in data availability and the nature of the plans considered, different methods were used in each case study community to estimate how changes in the built environment are expected to affect transportation physical activity.
In this review we will consider different methods that have been developed to analyze human T and B cells and focus in particular on those based on high-throughput cell culture, such as memory B cell immortalization, plasma cell cultures and libraries of naïve or memory T cells.
The results are presented next, where different threshold values may be considered for different methods to allow better visualization of the differences in results.
The paper presents a building case-study where the MC-based uncertainty and sensitivity analysis method is applied considering different design options (XPS and Cork internal insulation measures) and different scenarios for the assessment of the building energy need (use phase).
Triangulation of different methods is considered an appropriate strategy for strengthening the validity of research findings [ 52, 53].
However, it also appears as though further validation needs should be considered by investigating different methods of training and scoring in a more diverse study population.
In this paper, the localization of a random sound source via different source localization methods is considered, the emphasis being put on the robustness and the accuracy of classical methods in the presence of uncertainties.
