Personnel appointments: a pythagorean fuzzy sets approach using similarity measure
Year: 2019
Journal of Information and Computing Science, Vol. 14 (2019), Iss. 2 : pp. 94–102
Abstract
This paper explores the advantage of Pythagorean fuzzy sets in personnel appointments by 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 positions (both in Pythagorean fuzzy pairs/values), in the light of the qualifications require by the 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.
Journal Article Details
Publisher Name: Global Science Press
Language: English
DOI: https://doi.org/2024-JICS-22419
Journal of Information and Computing Science, Vol. 14 (2019), Iss. 2 : pp. 94–102
Published online: 2019-01
AMS Subject Headings:
Copyright: COPYRIGHT: © Global Science Press
Pages: 9