Title of article :
A Fuzzy Analytic Hierarchy Process Approach to Identify and Prioritize Environmental Performance Indicators in Hospitals
Author/Authors :
SHAHBOD, NAZAK Department of Environmental Management - Science and Research Branch - Islamic Azad University, Tehran, Iran , MANSOURI, NABIOLLAH Graduate School of Environment and Energy - Science and Research Branch, Islamic Azad University, Tehran, Iran , BAYAT, MANSOUR Department of Microbiology - Faculty of Veterinary Specialized Sciences, Science and Research Branch, Islamic Azad University, Tehran, Iran , NOURI, JAFAR Department of Environmental Health Engineering - School of Public Health - Tehran University of Medical Sciences, Tehran, Iran , GHODDOUSI, JAMAL Graduate School of Environment and Energy - Science and Research Branch, Islamic Azad University, Tehran, Iran
Abstract :
Being threatened by various facilities in a city, modern urban environments have become extremely vulnerable
and fragile. Hospitals are among potentially high-risk facilities. Environmental awareness is relatively lacking
in the health sector with few organizations measuring their performance. Therefore, the issue is exceedingly
important. This study aimed to identify and prioritize factors that influence environmental performance in
hospitals. To identify factors that influence environmental performance in hospitals, a comprehensive review
of literature was performed to compile a list of criteria, sub-criteria, and indicators of environmental
performance in healthcare centers. The list was then adjusted by experts in the field using the fuzzy Delphi
method and the factors were prioritized using fuzzy analytical hierarchy process. In order to verify the results,
a fuzzy technique was also applied to determine the order of preference by similarity to ideal solution.
Therefore to verify the weights and priorities assigned to the factors influencing environmental performance,
the factors were once again rated by experts based on the criteria of specificity, measurability, availability,
being realistic, and time-related. Six criteria, 22 sub-criteria, and 48 indicators were identified and prioritized.
Furthermore, Fuzzy AHP and Fuzzy TOPSIS resulted in the same prioritization of the factors. Therefore, the
results obtained from Fuzzy AHP are acceptable. Using appropriate indicators together with appropriate
techniques can serve to improve the environmental performance in health care centers. The obtained results
showed that the FAHP method could be used for prioritizing environmental performance factors in hospitals
successfully.
Keywords :
Environmental indicators , Delphi method , FAHP , FTOPSIS , Hospital
Journal title :
Astroparticle Physics