The projects were ranked from best to worst based on technical, economic and environmental criteria under the MCDA framework.
The cards were ranked from best to worst along the edge of a desk with respondents first being handed two randomly selected cards and instructed to place one card on the desk and decide whether the second was better or worse than the first, placing it above or below accordingly.
Within each method, all genes were ranked from best to worst.
The rules are ranked from best to worst prior to being passed to the classifier generation algorithms.
Congruity of the methods was assessed with a combination of three statistical approaches (Fisher's exact test and two differently calculated proportions of agreeing observations), and the components were ranked from best to worst.
The simulation results show that the studied filters can be ranked from the best to worst as triple-tuned, damped double-tuned, double-tuned, C-type and single-tuned ones in terms of their performance on the transformer's loading capability improvement.
First, with respect to the external validation accuracy, the six methods can be ranked from the best to the worst as Mean top 50%, ASSESS, PLS, Mean CORGs, PCA, and Mean all.
The quality metrics were ranked, from the best to the worst, according to purity, homogeneity, completeness, v measure, precision, recall and rand index results, in the following order: DBSCAN, CLARA and PAM.
The areas are ranked from No. 1 (best) to No. 200 (worst) on various factors, among them job growth and cost of living.
