@Article{JICS-14-094,
author = {Paul Augustine Ejegwa},
title = {Personnel appointments: a pythagorean fuzzy sets approach using similarity measure},
journal = {Journal of Information and Computing Science},
year = {2019},
volume = {14},
number = {2},
pages = {094--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. 
},
issn = {3080-180X},
doi = {https://doi.org/},
url = {http://global-sci.org/intro/article_detail/jics/22419.html}
}