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Application of Intuitionistic Fuzzy Approaches and Bonferroni Mean Operators in the Selection of Suppliers of Agricultural Equipment and Machinery for the Needs of the Agriculture 4.0 System

Author

Listed:
  • Adis Puška

    (Government of Brčko District of Bosnia and Herzegovina, 76100 Brčko, Bosnia and Herzegovina)

  • Saša Igić

    (Faculty of Economics and Engineering Management in Novi Sad, University Business Academy in Novi Sad, Cvećarska 2, 21000 Novi Sad, Serbia)

  • Nedeljko Prdić

    (JKP Tržnica, Žike Popovića 4, 21000 Novi Sad, Serbia)

  • Branislav Dudić

    (Faculty of Economics and Engineering Management in Novi Sad, University Business Academy in Novi Sad, Cvećarska 2, 21000 Novi Sad, Serbia
    Faculty of Management, Comenius University Bratislava, 820 05 Bratislava, Slovakia)

  • Ilija Stojanović

    (College of Business Administration, American University in the Emirates, Dubai International Academic City, Dubai P.O. Box 503000, United Arab Emirates)

  • Lazar Stošić

    (Faculty of Informatics and Computer Science, University Union Nikola Tesla, 11000 Belgrade, Serbia)

  • Miroslav Nedeljković

    (Institute of Agricultural Economics, 11060 Belgrade, Serbia)

Abstract

The development of technology has influenced agricultural production and the establishment of the Agriculture 4.0 system in practice. This research is focused on the selection of equipment and machinery suppliers for the needs of the MAMEX Company. When selecting suppliers, an approach based on the application of an intuitionistic fuzzy set for decision-making was used. This approach allows the uncertainty present in decision-making to be incorporated, considered, and, hopefully, reduced in order to make a final decision on which of the observed suppliers is the most suitable for this company. Ten criteria were used that enable the application of sustainability in the supply chain. Eight local suppliers of equipment and machinery were observed with these criteria. The results obtained by applying the SWARA (Step-wise Weight Assessment Ratio Analysis) method showed that the most important criterion for selecting suppliers is the reliability and quality of equipment and machinery, while the results of the CORASO (COmpromise Ranking from Alternative Solutions) method showed that the SUP2 supplier is the best choice for establishing partnership relations with the MAMEX company. This supplier should help the MAMEX company improve its business and achieve better results in the market. The contribution of this research is to improve the application of intuitionistic fuzzy sets in decision-making, and to emphasize the importance of equipment and machinery in agricultural production in the Agriculture 4.0 system.

Suggested Citation

  • Adis Puška & Saša Igić & Nedeljko Prdić & Branislav Dudić & Ilija Stojanović & Lazar Stošić & Miroslav Nedeljković, 2025. "Application of Intuitionistic Fuzzy Approaches and Bonferroni Mean Operators in the Selection of Suppliers of Agricultural Equipment and Machinery for the Needs of the Agriculture 4.0 System," Mathematics, MDPI, vol. 13(14), pages 1-31, July.
  • Handle: RePEc:gam:jmathe:v:13:y:2025:i:14:p:2268-:d:1701404
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    References listed on IDEAS

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    1. Nawab Khan & Ram L. Ray & Ghulam Raza Sargani & Muhammad Ihtisham & Muhammad Khayyam & Sohaib Ismail, 2021. "Current Progress and Future Prospects of Agriculture Technology: Gateway to Sustainable Agriculture," Sustainability, MDPI, vol. 13(9), pages 1-31, April.
    2. C?Han Çaliko?Lu & Aleksandra ?Uczak, 2024. "Multidimensional assessment of sdi and hdi using topsis and bilinear ordering," International Journal of Economic Sciences, European Research Center, vol. 13(2), pages 116-128, December.
    3. 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.
    4. Qiankun Jiang & Haiyan Wang, 2025. "A Hybrid Intuitionistic Fuzzy Entropy–BWM–WASPAS Approach for Supplier Selection in Shipbuilding Enterprises," Sustainability, MDPI, vol. 17(4), pages 1-19, February.
    5. Sajida Kousar & Afia Zafar & Nasreen Kausar & Dragan Pamucar & Parameshwari Kattel & Cristiano Fragassa, 2022. "Fruit Production Planning in Semiarid Zones: A Novel Triangular Intuitionistic Fuzzy Linear Programming Approach," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-13, February.
    6. Hendiani, Sepehr & Walther, Grit, 2025. "Towards sustainable futures: Rethinking supplier selection through interval-valued intuitionistic fuzzy decision-making," International Journal of Production Economics, Elsevier, vol. 285(C).
    7. 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.
    8. Seda Turk, 2022. "Taguchi Loss Function in Intuitionistic Fuzzy Sets along with Personal Perceptions for the Sustainable Supplier Selection Problem," Sustainability, MDPI, vol. 14(10), pages 1-18, May.
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