@Article{JNMA-5-2,
author = {Salman, Khalil and Umar, Muhammad, Modibbo and Raina, Aziz, Ather and Irfan, Ali},
title = {A Personnel Selection Problem in Healthcare System Using Fuzzy-TOPSIS Approach},
journal = {Journal of Nonlinear Modeling and Analysis},
year = {2023},
volume = {5},
number = {2},
pages = {311--324},
abstract = {<p style="text-align: justify;">The methods of multiple criteria decision-making (MCDM) are
increasingly becoming the most desired tools for making daily decisions in
various fields of human endeavors. Staff employment in any sector requires a
thorough evaluation of the applicant before selection to ensure effective and
efficient service delivery. Besides, healthcare is one of the most complicated
organizations dealing with human lives. This paper has developed a staff selection model considering a fuzzy environment by using the technique for order
preference similar to the ideal solution (TOPSIS) method. For the delivery
and promotion of quality healthcare systems, medical staff selection is crucial to the system. Therefore, the study evaluates medical staff by using the
expert’s linguistic judgement under the criteria of skill, experience and ability to respond to a problem. The expert’s vagueness in judgments has been
represented by using fuzzy triangular numbers. The study determines the
closeness coefficient, the measures of separation and the ideal solutions of the
TOPSIS method. The most appropriate medical staff are ranked and selected
based on the available criteria. The Fuzzy-TOPSIS method is simple and can
help other organizations achieve proper ranking, evaluation and selection of
qualified candidates, as it takes imprecise information into account.</p>},
issn = {2562-2862},
doi = {https://doi.org/10.12150/jnma.2023.311},
url = {https://global-sci.com/article/87872/a-personnel-selection-problem-in-healthcare-system-using-fuzzy-topsis-approach}
}