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However, the methodology and measures we develop in this paper are generally applicable.
Then, based on the Shapley fuzzy measures, we develop two kinds of generalized interval-valued hesitant fuzzy linguistic Shapley Choquet integrals to globally characterize interactions between criteria combinations.
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These include the combined air quality measures we developed through our principal components analysis, and metal concentrations obtained from bedroom dust samples.
For evaluation of the use of protective measures, we developed a personal protective equipment (PPE -score ranging between 0 and 9, where 9 corresPPE -score consistent and complete use of PPE.
To overcome the limitations of previous measures, we developed a comprehensive, multi-modal (i.e. interview, document analysis), and theory-based measure of policymakers' use of research in the development of a recently approved health policy or program document, entitled Staff Assessment of enGagement with Evidence from research (SAGE).
15 In order to assess the performance of the breast MDT on the above-mentioned measures, we developed a computerised decision support system, MATE (Multidisciplinary meeting Assistant and Treatment sElector), that captures patient data, identifies eligible patients for clinical trials and suggests evidence-based treatment recommendations.
Following the proposed codebook model and the novel similarity measure, we develop two useful image classification algorithms by modifying popular image coding algorithms (i.e. SPM and LLC).
The similarity measure we developed in this study to compare the DDI conservation similarity has provided a normalized value to facilitate pair-wise comparisons among all eight species.
To complete the measure, we developed a database for managing the data and a manual for using the schedule.
The semantic similarity measure we developed for our application has some disadvantages in comparison with symmetric measures, and these are evidenced in the low performance of our approach for low false-positive rates.
Finally, to capture the information content of TSH, FT3 and FT4 in a single, composite and continuous measure we developed an index [which we termed the thyroid function index (TFI)] as: TFI = TSH/ FT3 × FT4).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com