Applied Mathematics & Information Sciences
Abstract
Health care personnel, particularly those working in emergency departments (EDs), perform activities involving various occupational risks from diseases to accidents. The identification of these risks are critical to taking effective preventive measures, which would improve the health and life quality of this professional group. However, risk assessment is a Multi-Criteria Decision Making (MCDM) problem involving quantitative and qualitative risk factors; it contains imprecise information from the lack of knowledge of health workers. In the present study, the new Fuzzy MCDM model is proposed incorporating the fuzzy Decision Making Trial and Evaluation Laboratory (DEMATEL) and fuzzy Grey Relational Analysis (GRA) to rank the occupational risk levels of EDs considering the dependencies among risk factors. The proposed model is used to rank the risk levels of EDs of three hospitals according to risk factors in the city of Erzurum, Turkey. This study provides a reliable and effective model to obtain the risk levels in EDs and determine necessary precautions according to risk factors. However, proposed model can help managers obtain the risk levels in different hospital departments.
Digital Object Identifier (DOI)
http://dx.doi.org/10.18576/amis/100638
Recommended Citation
Kılıc Delice, Elif and Zegerek, Salih
(2016)
"Ranking Occupational Risk Levels of Emergency Departments Using a New Fuzzy MCDM Model: A Case Study In Turkey,"
Applied Mathematics & Information Sciences: Vol. 10:
Iss.
6, Article 38.
DOI: http://dx.doi.org/10.18576/amis/100638
Available at:
https://digitalcommons.aaru.edu.jo/amis/vol10/iss6/38