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A novel framework for selecting sustainable healthcare waste treatment technologies under Z-number environment

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  • Xiaohong Chen
  • Jiong Lin
  • Xihua Li
  • Zhiyong Ma

Abstract

Health-care waste (HCW) management has been regarded as an increasingly important issue in environmental protection. The evaluation and selection of HCW treatment technologies are essential in HCW management. In this paper, we present a novel group decision making framework based on Z-numbers and the TODIM method to synthesise the opinions of the experts and assist them in selecting an optimal HCW treatment technology. This framework comprises three phases, namely, (I) transformation of decision-making information, (II) determination of the criteria weights and (III) ranking of the alternatives. It can take advantage of Z-numbers to express the opinions of experts and to analyse their reliability. The TODIM method captures the bounded rationality of these experts and enhances the reasonability of the selection. An illustrative example is presented to demonstrate the feasibility of the proposed framework.

Suggested Citation

  • Xiaohong Chen & Jiong Lin & Xihua Li & Zhiyong Ma, 2021. "A novel framework for selecting sustainable healthcare waste treatment technologies under Z-number environment," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 72(9), pages 2032-2045, September.
    • Handle: RePEc:taf:tjorxx:v:72:y:2021:i:9:p:2032-2045
    DOI: 10.1080/01605682.2020.1759382
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    Cited by:

    1. Adis Puška & Željko Stević & Dragan Pamučar, 2022. "Evaluation and selection of healthcare waste incinerators using extended sustainability criteria and multi-criteria analysis methods," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(9), pages 11195-11225, September.

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