This work presents and exemplifies the application of a methodology that supports the selection and prioritization of a bibliographical data set that represents the state of the art on the subject studied. The process involves the compilation of a preliminary database, followed by the application of a sequence of filtering steps to form a convergent database for the aims of the study, and finally organizes this final databasis using a decision support method. The probabilistic preferences composition (CPP) method was adopted to exemplify the application of the methodology. The methodology was applied successfully to select articles in different contexts.
Search; Bibliometrics; Composition of probabilistic Preferences; CPP
