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Establishing an interval-valued fuzzy decision-making method for sustainable selection of healthcare waste treatment technologies in the emerging economies

  • Hao Li
  • Jinlin LiEmail author
  • Zengbo Zhang
  • Xueli Cao
  • Jingrong Zhu
  • Wenjia Chen
ORIGINAL ARTICLE
  • 46 Downloads

Abstract

Healthcare services provided by hospitals and clinics inevitably produce waste that may hazardous to the environment and society. However, there is a lack of an effective and comprehensive evaluation framework that takes uncertainty and fuzziness into account to assess healthcare waste treatment technologies in the emerging economies. The objective of this paper is to present a new integrated multi-criteria decision-making method based on interval-valued fuzzy DEMATEL (Decision-Making Trial and Evaluation Laboratory) and interval-valued fuzzy TOPSIS for evaluating healthcare waste treatment technologies in the emerging economies from a sustainability perspective. In this study, the decision makers are allowed to determine the weights of the evaluation criteria and prioritize the alternatives using linguistic variables. The weights of the evaluation criteria are determined by the interval-valued fuzzy DEMATEL method, and the prioritization of the alternatives is determined by the interval-valued fuzzy TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution) method. Four alternatives for healthcare waste treatment technologies including incineration, steam sterilization, microwave and landfill are studied, and the results show that our established method is effective to help the decision-makers to determine the prioritization of the alternatives for healthcare waste treatment technologies.

Keywords

Healthcare waste treatment technology Multi-criteria decision-making Interval-valued fuzzy DEMATEL Interval-valued fuzzy TOPSIS Sustainability 

Notes

Acknowledgements

The authors are very grateful to the editor and anonymous referees for their valuable comments and suggestions that contributed significantly to improve the quality of this paper. This work was supported by the Key Program of National Natural Science Foundation of China (No. 71432002) and Chinese Government Scholarship of China Scholarship Committee (No. 201906030126).

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Copyright information

© Springer Japan KK, part of Springer Nature 2019

Authors and Affiliations

  • Hao Li
    • 1
  • Jinlin Li
    • 1
    Email author
  • Zengbo Zhang
    • 1
  • Xueli Cao
    • 1
  • Jingrong Zhu
    • 1
  • Wenjia Chen
    • 1
  1. 1.School of Management and EconomicsBeijing Institute of TechnologyBeijingPeople’s Republic of China

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