IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i16p12565-d1220183.html
   My bibliography  Save this article

A Fuzzy TOPSIS-Based Approach for Comprehensive Evaluation of Bio-Medical Waste Management: Advancing Sustainability and Decision-Making

Author

Listed:
  • Khalil al-Sulbi

    (Department of Computer Science, Al-Qunfudah Computer College, Umm Al-Qura University, Mecca 21421, Saudi Arabia)

  • Pawan Kumar Chaurasia

    (Department of Information Technology, Babasaheb Bhimrao Ambedkar University, Lucknow 226025, Uttar Pradesh, India)

  • Abdulaziz Attaallah

    (Department of Computer Science, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah 21589, Saudi Arabia)

  • Alka Agrawal

    (Department of Information Technology, Babasaheb Bhimrao Ambedkar University, Lucknow 226025, Uttar Pradesh, India)

  • Dhirendra Pandey

    (Department of Information Technology, Babasaheb Bhimrao Ambedkar University, Lucknow 226025, Uttar Pradesh, India)

  • Vandna Rani Verma

    (Department of Computer Engineering, Babasaheb Bhimrao Ambedkar University, Lucknow 226025, Uttar Pradesh, India)

  • Vipin Kumar

    (Department of Computer Science & Information Technology, Mahatma Gandhi Central University, Motihari 845401, Bihar, India)

  • Md Tarique Jamal Ansari

    (Department of Information Technology, Babasaheb Bhimrao Ambedkar University, Lucknow 226025, Uttar Pradesh, India)

Abstract

Bio-medical waste management is critical for ensuring public health and environmental sustainability. However, due to the inherent ambiguities and complexities involved with waste characteristics and disposal techniques, measuring the efficiency of bio-medical waste management systems presents major hurdles. This study provides a Fuzzy TOPSIS-based (Technique for Order Preference by Similarity to Ideal Solution) strategy for thorough bio-medical waste management assessment. The suggested method combines the benefits of fuzzy logic and TOPSIS, allowing for the incorporation of subjective judgments and ambiguity in the evaluation procedure. Initially, a thorough set of criteria is constructed based on a review of current literature and recommendations from experts, comprising Environmental Impact, Compliance with Regulations, Health and Safety, Technological Feasibility, and Cost-effectiveness. To accurately represent the inherent ambiguity and imprecision in decision-making, each criterion is evaluated using linguistic variables. Furthermore, the Fuzzy TOPSIS approach is used to rate various bio-medical waste management systems depending on how well they perform in comparison to the identified criteria. The language judgments are represented as fuzzy numbers, and the idea of closeness coefficients is used for calculating the relative distance between each alternative and the ideal answer. An investigation in a healthcare facility is performed to demonstrate the feasibility and effectiveness of the suggested strategy. To assess numerous waste management approaches, the study uses real-world data on waste management practices, expert opinions, and linguistic analyses. The study’s findings emphasize the benefits of using a Fuzzy TOPSIS-based technique to evaluate bio-medical waste management. According to the findings of this research study, recycling is the best choice because it has the potential to reduce waste, recover resources, and preserve the environment. It assists decision-makers to account for uncertainties and subjectivity, increases transparency and consistency in decision-making, and aids in choosing of the best waste management system. The proposed approach advances sustainable waste management practices in the bio-medical area and provides a helpful tool for policymakers and practitioners looking to enhance waste management systems.

Suggested Citation

  • Khalil al-Sulbi & Pawan Kumar Chaurasia & Abdulaziz Attaallah & Alka Agrawal & Dhirendra Pandey & Vandna Rani Verma & Vipin Kumar & Md Tarique Jamal Ansari, 2023. "A Fuzzy TOPSIS-Based Approach for Comprehensive Evaluation of Bio-Medical Waste Management: Advancing Sustainability and Decision-Making," Sustainability, MDPI, vol. 15(16), pages 1-21, August.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:16:p:12565-:d:1220183
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/16/12565/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/16/12565/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Gomes, Carlos F. Simões & Nunes, Kátia R.A. & Helena Xavier, Lucia & Cardoso, Rosangela & Valle, Rogerio, 2008. "Multicriteria decision making applied to waste recycling in Brazil," Omega, Elsevier, vol. 36(3), pages 395-404, June.
    2. 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).
    3. Inghels, Dirk & Dullaert, Wout & Vigo, Daniele, 2016. "A service network design model for multimodal municipal solid waste transport," European Journal of Operational Research, Elsevier, vol. 254(1), pages 68-79.
    4. Mulliner, Emma & Malys, Naglis & Maliene, Vida, 2016. "Comparative analysis of MCDM methods for the assessment of sustainable housing affordability," Omega, Elsevier, vol. 59(PB), pages 146-156.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Wen-Jing Song & Jian-Wei Ren & Chun-Hua Chen & Chen-Xi Feng & Lin-Qiang Li & Chong-Yu Ma, 2024. "A Two-Stage Data Envelopment Analysis Approach Incorporating the Global Bounded Adjustment Measure to Evaluate the Efficiency of Medical Waste Recycling Systems with Undesirable Inputs and Outputs," Sustainability, MDPI, vol. 16(10), pages 1-33, May.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Chen, Lisa Y. & Wang, Tien-Chin, 2009. "Optimizing partners' choice in IS/IT outsourcing projects: The strategic decision of fuzzy VIKOR," International Journal of Production Economics, Elsevier, vol. 120(1), pages 233-242, July.
    2. Veknesh Arumugam & Ismail Abdullah & Irwan Syah Md Yusoff & Nor Liza Abdullah & Ramli Mohd Tahir & Ahadi Mohd Nasir & Ammar Ehsan Omar & Muhammad Heikal Ismail, 2021. "The Impact of COVID-19 on Solid Waste Generation in the Perspectives of Socioeconomic and People’s Behavior: A Case Study in Serdang, Malaysia," Sustainability, MDPI, vol. 13(23), pages 1-11, November.
    3. Vlachokostas, Ch. & Michailidou, A.V. & Achillas, Ch., 2021. "Multi-Criteria Decision Analysis towards promoting Waste-to-Energy Management Strategies: A critical review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 138(C).
    4. Edmundas Kazimieras Zavadskas & Fausto Cavallaro & Valentinas Podvezko & Ieva Ubarte & Arturas Kaklauskas, 2017. "MCDM Assessment of a Healthy and Safe Built Environment According to Sustainable Development Principles: A Practical Neighborhood Approach in Vilnius," Sustainability, MDPI, vol. 9(5), pages 1-30, April.
    5. María Carmen Carnero, 2020. "Waste Segregation FMEA Model Integrating Intuitionistic Fuzzy Set and the PAPRIKA Method," Mathematics, MDPI, vol. 8(8), pages 1-29, August.
    6. Min Su & Qiang Wang & Rongrong Li, 2021. "How to Dispose of Medical Waste Caused by COVID-19? A Case Study of China," IJERPH, MDPI, vol. 18(22), pages 1-18, November.
    7. Teng, Sin Yong & Orosz, Ákos & How, Bing Shen & Jansen, Jeroen J. & Friedler, Ferenc, 2023. "Retrofit heat exchanger network optimization via graph-theoretical approach: Pinch-bounded N-best solutions allows positional swapping," Energy, Elsevier, vol. 283(C).
    8. Gómez-Limón, José A. & Gutiérrez-Martín, Carlos & Riesgo, Laura, 2016. "Modeling at farm level: Positive Multi-Attribute Utility Programming," Omega, Elsevier, vol. 65(C), pages 17-27.
    9. Gawlik Remigiusz & Głuszak Michał & Małkowska Agnieszka, 2017. "The Measurement of Housing Preferences in the Analytic Hierarchy Process," Folia Oeconomica Stetinensia, Sciendo, vol. 17(1), pages 31-43, June.
    10. Witold Torbacki, 2021. "A Hybrid MCDM Model Combining DANP and PROMETHEE II Methods for the Assessment of Cybersecurity in Industry 4.0," Sustainability, MDPI, vol. 13(16), pages 1-35, August.
    11. Jaros³aw Brodny & Magdalena Tutak, 2023. "The level of implementing sustainable development goal "Industry, innovation and infrastructure" of Agenda 2030 in the European Union countries: Application of MCDM methods," Oeconomia Copernicana, Institute of Economic Research, vol. 14(1), pages 47-102, March.
    12. Ying Zhou & Weiwei Li & Pingtao Yi & Chengju Gong, 2019. "Evaluation of City Sustainability from the Perspective of Behavioral Guidance," Sustainability, MDPI, vol. 11(23), pages 1-17, November.
    13. Audrius Čereška & Edmundas Kazimieras Zavadskas & Fausto Cavallaro & Valentinas Podvezko & Ina Tetsman & Irina Grinbergienė, 2016. "Sustainable Assessment of Aerosol Pollution Decrease Applying Multiple Attribute Decision-Making Methods," Sustainability, MDPI, vol. 8(7), pages 1-12, June.
    14. Brain, Isabel & Prieto, Joaquin, 2021. "Understanding changes in the geography of opportunity over time: the case of Santiago, Chile," LSE Research Online Documents on Economics 109915, London School of Economics and Political Science, LSE Library.
    15. Tomasz Wołowiec & Iuliia Myroshnychenko & Ihor Vakulenko & Sylwester Bogacki & Anna Maria Wiśniewska & Svitlana Kolosok & Vitaliy Yunger, 2022. "International Impact of COVID-19 on Energy Economics and Environmental Pollution: A Scoping Review," Energies, MDPI, vol. 15(22), pages 1-26, November.
    16. Ling Gai & Ying Jin & Binyuan Zhang, 2022. "An integrated method for hybrid distribution with estimation of demand matching degree," Journal of Combinatorial Optimization, Springer, vol. 44(4), pages 2782-2808, November.
    17. Mojtaba Mahmoodian & Farham Shahrivar & Chunqing Li, 2022. "Maintenance Prioritisation of Irrigation Infrastructure Using a Multi-Criteria Decision-Making Methodology under a Fuzzy Environment," Sustainability, MDPI, vol. 14(22), pages 1-35, November.
    18. Zhong, Chao & Tan, Jiqiu & Zuo, Hongyan & Wu, Xin & Wang, Shaoli & Liu, Junan, 2021. "Synergy effects analysis on CDPF regeneration performance enhancement and NOx concentration reduction of NH3–SCR over Cu–ZSM–5," Energy, Elsevier, vol. 230(C).
    19. Silvia Carpitella & Ilyas Mzougui & Joaquín Izquierdo, 2022. "Multi-criteria risk classification to enhance complex supply networks performance," OPSEARCH, Springer;Operational Research Society of India, vol. 59(3), pages 769-785, September.
    20. Askoldas Podviezko & Lyudmila Parfenova & Andrey Pugachev, 2019. "Tax Competitiveness of the New EU Member States," JRFM, MDPI, vol. 12(1), pages 1-19, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:15:y:2023:i:16:p:12565-:d:1220183. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.