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Locating a disinfection facility for hazardous healthcare waste in the COVID-19 era: a novel approach based on Fermatean fuzzy ITARA-MARCOS and random forest recursive feature elimination algorithm

Author

Listed:
  • Vladimir Simic

    (University of Belgrade)

  • Ali Ebadi Torkayesh

    (RWTH Aachen University)

  • Abtin Ijadi Maghsoodi

    (University of Auckland)

Abstract

Hazardous healthcare waste (HCW) management system is one of the most critical urban systems affected by the COVID-19 pandemic due to the increase in waste generation rate in hospitals and medical centers dealing with infected patients as well as the degree of hazardousness of generated waste due to exposure to the virus. In this regard, waste network flow would face severe problems without taking care of hazardous waste through disinfection facilities. For this purpose, this study aims to develop an advanced decision support system based on a multi-stage model that was combined with the random forest recursive feature elimination (RF-RFE) algorithm, the indifference threshold-based attribute ratio analysis (ITARA), and measurement of alternatives and ranking according to compromise solution (MARCOS) methods into a unique framework under the Fermatean fuzzy environment. In the first stage, the innovative Fermatean fuzzy RF-RFE algorithm extracts core criteria from a finite set of initial criteria. In the second stage, the novel Fermatean fuzzy ITARA determines the semi-objective importance of the core criteria. In the third stage, the new Fermatean fuzzy MARCOS method ranks alternatives. A real-life case study in Istanbul, Turkey, illustrates the applicability of the introduced methodology. Our empirical findings indicate that “Pendik” is the best among five candidate locations for sitting a new disinfection facility for hazardous HCW in Istanbul. The sensitivity and comparative analyses confirmed that our approach is highly robust and reliable. This approach could be used to tackle other critical multi-dimensional problems related to COVID-19 and support sustainability and circular economy.

Suggested Citation

  • Vladimir Simic & Ali Ebadi Torkayesh & Abtin Ijadi Maghsoodi, 2023. "Locating a disinfection facility for hazardous healthcare waste in the COVID-19 era: a novel approach based on Fermatean fuzzy ITARA-MARCOS and random forest recursive feature elimination algorithm," Annals of Operations Research, Springer, vol. 328(1), pages 1105-1150, September.
    • Handle: RePEc:spr:annopr:v:328:y:2023:i:1:d:10.1007_s10479-022-04822-0
    DOI: 10.1007/s10479-022-04822-0
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    1. Kuhn, Max, 2008. "Building Predictive Models in R Using the caret Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 28(i05).
    2. Miomir Stanković & Željko Stević & Dillip Kumar Das & Marko Subotić & Dragan Pamučar, 2020. "A New Fuzzy MARCOS Method for Road Traffic Risk Analysis," Mathematics, MDPI, vol. 8(3), pages 1-18, March.
    3. Ayaz Hussain & Umar Draz & Tariq Ali & Saman Tariq & Muhammad Irfan & Adam Glowacz & Jose Alfonso Antonino Daviu & Sana Yasin & Saifur Rahman, 2020. "Waste Management and Prediction of Air Pollutants Using IoT and Machine Learning Approach," Energies, MDPI, vol. 13(15), pages 1-22, August.
    4. Alptekin Ulutaş & Darjan Karabasevic & Gabrijela Popovic & Dragisa Stanujkic & Phong Thanh Nguyen & Çağatay Karaköy, 2020. "Development of a Novel Integrated CCSD-ITARA-MARCOS Decision-Making Approach for Stackers Selection in a Logistics System," Mathematics, MDPI, vol. 8(10), pages 1-15, October.
    5. Dipti Singh & Ajay Satija, 2018. "Prediction of municipal solid waste generation for optimum planning and management with artificial neural network—case study: Faridabad City in Haryana State (India)," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 9(1), pages 91-97, February.
    6. Lorena Pradenas & Marco Fuentes & Víctor Parada, 2020. "Optimizing waste storage areas in health care centers," Annals of Operations Research, Springer, vol. 295(1), pages 503-516, December.
    7. Klemeš, Jiří Jaromír & Fan, Yee Van & Tan, Raymond R. & Jiang, Peng, 2020. "Minimising the present and future plastic waste, energy and environmental footprints related to COVID-19," Renewable and Sustainable Energy Reviews, Elsevier, vol. 127(C).
    8. Du, Puliang & Chen, Zhong & Gong, Xiaomin, 2020. "Load response potential evaluation for distribution networks: A hybrid decision-making model with intuitionistic normal cloud and unknown weight information," Energy, Elsevier, vol. 192(C).
    9. Željko Stević & Nikola Brković, 2020. "A Novel Integrated FUCOM-MARCOS Model for Evaluation of Human Resources in a Transport Company," Logistics, MDPI, vol. 4(1), pages 1-14, February.
    10. Vladimir Simić & Radovan Soušek & Stefan Jovčić, 2020. "Picture Fuzzy MCDM Approach for Risk Assessment of Railway Infrastructure," Mathematics, MDPI, vol. 8(12), pages 1-29, December.
    11. Huai-Wei Lo & Chao-Che Hsu & Chun-Nen Huang & James J. H. Liou, 2021. "An ITARA-TOPSIS Based Integrated Assessment Model to Identify Potential Product and System Risks," Mathematics, MDPI, vol. 9(3), pages 1-17, January.
    12. Asim Paul & Magfura Pervin & Sankar Kumar Roy & Nelson Maculan & Gerhard-Wilhelm Weber, 2022. "A green inventory model with the effect of carbon taxation," Annals of Operations Research, Springer, vol. 309(1), pages 233-248, February.
    13. Louw, N. & Steel, S.J., 2006. "Variable selection in kernel Fisher discriminant analysis by means of recursive feature elimination," Computational Statistics & Data Analysis, Elsevier, vol. 51(3), pages 2043-2055, December.
    14. Mehdi Keshavarz-Ghorabaee & Maghsoud Amiri & Mohammad Hashemi-Tabatabaei & Edmundas Kazimieras Zavadskas & Arturas Kaklauskas, 2020. "A New Decision-Making Approach Based on Fermatean Fuzzy Sets and WASPAS for Green Construction Supplier Evaluation," Mathematics, MDPI, vol. 8(12), pages 1-24, December.
    15. Torkayesh, Ali Ebadi & Torkayesh, Sajjad Ebadi, 2021. "Evaluation of information and communication technology development in G7 countries: An integrated MCDM approach," Technology in Society, Elsevier, vol. 66(C).
    16. Muhammad Akram & Gulfam Shahzadi & Abdullah Ali H. Ahmadini & Tahir Mahmood, 2020. "Decision-Making Framework for an Effective Sanitizer to Reduce COVID-19 under Fermatean Fuzzy Environment," Journal of Mathematics, Hindawi, vol. 2020, pages 1-19, October.
    17. Gulfam Shahzadi & G. Muhiuddin & Muhammad Arif Butt & Ather Ashraf & Sami Ullah Khan, 2021. "Hamacher Interactive Hybrid Weighted Averaging Operators under Fermatean Fuzzy Numbers," Journal of Mathematics, Hindawi, vol. 2021, pages 1-17, March.
    18. Ankur Chauhan & Amol Singh & Sanjay Jharkharia, 2018. "Healthcare waste management practices' identification and evaluation to rank hospitals," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 33(3), pages 367-386.
    19. Miroslav Mijajlović & Adis Puška & Željko Stević & Dragan Marinković & Dragan Doljanica & Saša Virijević Jovanović & Ilija Stojanović & Jasminka Beširović, 2020. "Determining the Competitiveness of Spa-Centers in Order to Achieve Sustainability Using a Fuzzy Multi-Criteria Decision-Making Model," Sustainability, MDPI, vol. 12(20), pages 1-17, October.
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