Sentence examples for criteria acceptability from inspiring English sources

11 14 15 Internal reviewers will be asked to: score each indicator against three key criteria: acceptability, feasibility and impact (online supplementary appendix B); to recommend the indicators for inclusion or exclusion; and provide any additional comments.

Using the stochastic multi-criteria acceptability analysis (SMAA -TRI method with a modification of a previouSMAA -TRIoped comethodised model for decision support in dredged material management, this study withperformed to test decision support under uncertainty.

To solve such problems, Lahdelma and Salminen [7] recommend the use of the stochastic multi-criteria acceptability analysis (SMAA) approach repetitively during the decision process when additional and more precise information is gained.

Among them, Kangas et al. (2015) consider the stochastic multi-criteria acceptability analysis (SMAA) as a tool fit for discrete cases and stochastic goal programming for continuous cases including uncertainty.

Thus, we propose a new decision-aiding method based on stochastic multi-criteria acceptability analysis (SMAA) of the regret aversion behavior of decision makers (DM) with discrete Z-numbers.

In this paper, we apply and compare two MCDA methods, multi-attribute utility theory (MAUT), and probabilistic multi-criteria acceptability analysis (ProMAA), for a hypothetical river restoration case study involving multiple stakeholders with competing interests.

Stochastic multi-criteria acceptability analysis (SMAA) also combines preference data with clinical trial data, but a non-informative (uniform) distribution or a single rank order of criteria is used for preferences [ 19, 33].

Every school should determine what it wants its students to be like and set up criteria of acceptability.

In The Netherlands, there are explicit criteria for acceptability of individual risk and societal risk.

In both examples, however, it is assumed that finished product quality is unaffected and is the ultimate criteria for acceptability.

The criteria for acceptability of accuracy data within 85 115%% of the actual values and ±15 % relative standard deviation (RSD) except for LLOQ for precision.