Fuzzy logic control is a recognized approach for handling the faced uncertainties within control applications.
Guidelines for grading the quality of evidence and strength of recommendations for the efficacy of an intervention were recently published, in which the analysis of single case reports is not a recognized approach for evaluating a treatment's efficacy [ 2].
Participatory research is an increasingly recognized approach that is helpful for involving the people for whom the research results are intended.
However, following a recognized approach can be a quality assurance for both your business and your clients.
Metaheuristic algorithms are extensively recognized as effective approaches for solving high-dimensional optimization problems.
There are a large number of pictures and minimal amounts of text, and these are recognized as useful approaches for addressing low levels of literacy [ 36, 37].
She currently serves as consulting editor for Psychology of Women Quarterly, the top journal for feminist psychology, and was recently awarded by the Society for the Psychological Study of Social Issues (American Psychological Association, Division 9) a national teaching award recognizing her innovative approaches for teaching intersectionality theory across the psychology curriculum.
Three simple strategies to change medicine's approach to medication errors have been proposed [ 74]: (a) recognize that current approaches for preventing medication errors are inadequate; (b) improve the error-reporting system, avoid punishment, and focus on identifying performance improvement opportunities; and (c) understand and enhance human performance within the medication use process.
Participatory research is an increasingly recognized methodological approach that is helpful for involving the people for whom the research results are intended [ 36].
However, we recognize that approaches explored for ranking problems, including cumulative ordinal regression model from statistics perspective [42], perceptron learning [43], Gaussian processes model [44], support vector machines-based regression [45] [47], and classification approaches [48] [50], were mostly developed on ranking objects in the scope of whole training and testing data.
