Personnel appointments: a pythagorean fuzzy sets approach using similarity measure

Abstract

This \u00a0paper \u00a0explores \u00a0the \u00a0advantage \u00a0of \u00a0Pythagorean \u00a0fuzzy \u00a0sets \u00a0in \u00a0personnel \u00a0appointments \u00a0by employing normalized Euclidean similarity to find the similarity between applicants to each positions. The choice of Euclidean similarity for Pythagorean fuzzy sets by incorporating the three traditional parameters, is because it gives a reliable similarity with respect to other similarity measures for Pythagorean fuzzy sets that incorporate the three traditional parameters as studied in literature. By finding the similarity of the applicants and \u00a0positions \u00a0(both \u00a0in \u00a0Pythagorean \u00a0fuzzy \u00a0pairs/values), \u00a0in \u00a0the \u00a0light \u00a0of \u00a0the \u00a0qualifications \u00a0require \u00a0by \u00a0the organisation, we determine the suitable applicants for the available positions. Also, we propose the notions of level sets of Pythagorean fuzzy sets and Pythagorean fuzzy pairs.