Abstract
Health Care Waste Management (HCWM) and integrated documentation in this hospital sector require analysis of large data collected by hospital health experts. This study presented a quantitative software index for evaluating the performance of waste management processes in healthcare by integrating Multiple Criteria Decision Making (MCDM) techniques based on ontology and fuzzy modeling combined with data mining. The HCWM index is calculated using fuzzy Ordered Weighted Average (fuzzy OWA) and the fuzzy Technique for the Order of Preference by Similarity of Ideal Solution (fuzzy TOPSIS) methods. The proposed approach is applied on a set of 16 hospitals from Tunisia. Results showed that the proposed index permit to determine weak and strong characteristics in waste management processes. A comparative analysis is made between two periods: before and during COVID-19 pandemic.
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Abdellaoui, Z., Derbel, M., Ghorbel, A. (2023). Assessing the Performance of Hospital Waste Management in Tunisia Using a Fuzzy-Based Approach OWA and TOPSIS During COVID-19 Pandemic. In: Abraham, A., Hong, TP., Kotecha, K., Ma, K., Manghirmalani Mishra, P., Gandhi, N. (eds) Hybrid Intelligent Systems. HIS 2022. Lecture Notes in Networks and Systems, vol 647. Springer, Cham. https://doi.org/10.1007/978-3-031-27409-1_72
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