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A new intelligent MCDM model for HCW management: The integrated BWM–MABAC model based on D numbers
16 references·13 citing·43 second hop
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this work references cited by second hop

References

  • 2003Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS5,018 cited
  • 2014The selection of transport and handling resources in logistics centers using Multi-Attributive Border Approximation area Comparison (MABAC)1,150 cited
  • 2020Sustainable supplier selection: A novel integrated fuzzy best worst method (F-BWM) and fuzzy CoCoSo with Bonferroni (CoCoSo’B) multi-criteria model423 cited
  • 2014A state-of-the-art survey on the influence of normalization techniques in ranking: Improving the materials selection process in engineering design341 cited
  • 2016Pythagorean Fuzzy Choquet Integral Based MABAC Method for Multiple Attribute Group Decision Making320 cited
  • 2013The use of multi-criteria decision analysis to tackle waste management problems: a literature review236 cited
  • 2018A Sensitivity analysis in MCDM problems: A statistical approach207 cited
  • 2014Evaluating health-care waste treatment technologies using a hybrid multi-criteria decision making model199 cited
  • 2019MABAC method for multiple attribute group decision making under q-rung orthopair fuzzy environment187 cited
  • 2018Failure mode and effects analysis based on D numbers and TOPSIS184 cited
  • 2018A novel multi-criteria decision making method for assessing health-care waste treatment technologies based on D numbers178 cited
  • 2013Assessment of health-care waste disposal methods using a VIKOR-based fuzzy multi-criteria decision making method175 cited
  • 2018

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Multicriteria decision analysis (MCDA) in health care: a systematic review of the main characteristics and methodological steps
165 cited
  • 2013Environmental impact assessment based on D numbers152 cited
  • 2006Classification Using Belief Functions: Relationship Between Case-Based and Model-Based Approaches143 cited
  • 2017D-AHP method with different credibility of information140 cited
  • Cited by

    • 2022Novel Fermatean Fuzzy Bonferroni Mean aggregation operators for selecting optimal health care waste treatment technology83 cited
    • 2022Market Assessment of Pear Varieties in Serbia Using Fuzzy CRADIS and CRITIC Methods81 cited
    • 2022A novel group BWM approach to evaluate the implementation criteria of blockchain technology in the automotive industry supply chain76 cited
    • 2022An integrated multi-criteria decision-making and multi-objective optimization framework for green supplier evaluation and optimal order allocation under uncertainty74 cited
    • 2022A two-stage framework for site selection of underground pumped storage power stations using abandoned coal mines based on multi-criteria decision-making method: An empirical study in China56 cited
    • 2023Selection of healthcare waste management treatment using fuzzy rough numbers and Aczel–Alsina Function50 cited
    • 2022A framework for the fusion of non-exclusive and incomplete information on the basis of D number theory49 cited
    • 2023A consensus-based Fermatean fuzzy WASPAS methodology for selection of healthcare waste treatment technology selection46 cited
    • 2023A Novel Axial-Distance-Based Aggregated Measurement (ADAM) Method for the Evaluation of Agri-Food Circular-Economy-Based Business Models45 cited
    • 2021An integrated framework for new sustainable waste-to-energy technology selection and risk assessment: An R-TODIM-R-MULTIMOOSRAL approach43 cited
    • 2023Resilient sustainable investment in digital education technology: A stakeholder-centric decision support model under uncertainty41 cited
    • 2021Assessment of a failure prediction model in the European energy sector: A multicriteria discrimination approach with a PROMETHEE based classification23 cited
    • 2022Assessing employees’ job motivation using BWM method and fuzzy goal programming: a case study of a petrochemical company3 cited