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An Interval-Valued Intuitionistic Fuzzy Model Based on Extended VIKOR and MARCOS for Sustainable Supplier Selection in Organ Transplantation Networks for Healthcare Devices

Author

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  • Sina Salimian

    (Department of Industrial Engineering, Shahed University, Tehran 3319118651, Iran)

  • Seyed Meysam Mousavi

    (Department of Industrial Engineering, Shahed University, Tehran 3319118651, Iran)

  • Jurgita Antucheviciene

    (Department of Construction Management and Real Estate, Vilnius Gediminas Technical University, LT-10223 Vilnius, Lithuania)

Abstract

The selection of proper healthcare device suppliers in sustainable organ transplantation networks has become an essential topic of increasing life expectancy. Assessment of sustainable healthcare device suppliers can be regarded as a complex multi-criteria decision-making (MCDM) problem that consists of multiple alternative solutions with sustainable criteria. For this reason, this paper proposes a new integrated MCDM model based on combining an extended vlsekriterijuska optimizacija i komoromisno resenje (E-VIKOR) and measurement alternatives and ranking according to the compromise solution (MARCOS) approaches under interval-valued intuitionistic fuzzy sets (IVIFSs). The aggregating technique of the E-VIKOR method is a strong point of this method compared to the original approach. The IVIFS is taken to cope with the uncertain situation of real-world applications. In this regard, an IVIF-similarity measure is introduced to compute weights of the decision-makers (DMs). The IVIF-Shannon entropy method is utilized to calculate the criteria weights, and a new hybrid proposed model is developed by presenting the IVIF-E-VIKOR method and IVIF-MARCOS, to calculate the ranking of sustainable supplier alternatives in organ transplantation networks to supply the surgery devices. Afterward, an illustrative example is introduced to evaluate the performance of the proposed model, and a comparative analysis is presented to confirm and validate the proposed approach. Moreover, sensitivity analysis for essential parameters of the proposed model is performed to assess their effects on outcomes.

Suggested Citation

  • Sina Salimian & Seyed Meysam Mousavi & Jurgita Antucheviciene, 2022. "An Interval-Valued Intuitionistic Fuzzy Model Based on Extended VIKOR and MARCOS for Sustainable Supplier Selection in Organ Transplantation Networks for Healthcare Devices," Sustainability, MDPI, vol. 14(7), pages 1-21, March.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:7:p:3795-:d:777843
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    References listed on IDEAS

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    3. Santonab Chakraborty & Rakesh D. Raut & T. M. Rofin & Shankar Chakraborty, 2024. "On solving a healthcare supplier selection problem using MCDM methods in intuitionistic fuzzy environment," OPSEARCH, Springer;Operational Research Society of India, vol. 61(2), pages 680-708, June.
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    5. Benedictus Rahardjo & Fu-Kwun Wang & Shih-Che Lo & Jia-Hong Chou, 2023. "A Hybrid Multi-Criteria Decision-Making Model Combining DANP with VIKOR for Sustainable Supplier Selection in Electronics Industry," Sustainability, MDPI, vol. 15(5), pages 1-21, March.

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