The Selection of a Children's Librarian: OWA (Ordered Weighted Averaging) as a New Model

Abstract

This article aims to demonstrate how to objectively select the best children's librarian from all children's librarian candidates by using OWA (Ordered Weighted Averaging) technique as a new model. Firstly, we described 14 professional criteria that must be met by 4 different candidates (c(1), c(2), c(3), and c(4)). Secondly, we determined 'the importance weights of professional criteria (u)' and 'the extent to which the children's librarian candidates meet these criteria (b)'. In order to determine the values of u and b, we changed the linguistic values such as good, bad, or important into the numerical values. Thirdly, we calculated the final performance scores of all children's librarian candidates by using the formula OWA. Finally, we selected the candidate 4 (c4) who earned the highest score (0,645) in total as the best children's librarian.