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Supplier Selection of Medical Consumption Products with a Probabilistic Linguistic MABAC Method

Author

Listed:
  • Guiwu Wei

    (School of Business, Sichuan Normal University, Chengdu 610101, China)

  • Cun Wei

    (School of Statistics, Southwestern University of Finance and Economics, Chengdu 611130, China)

  • Jiang Wu

    (School of Statistics, Southwestern University of Finance and Economics, Chengdu 611130, China)

  • Hongjun Wang

    (School of Economics and Management, Chongqing University of Arts and Sciences, Chongqing 402160, China)

Abstract

In order to obtain an optimal medical consumption product supplier, the integration of combined weights and multi-attributive border approximation area comparison (MABAC) under probabilistic linguistic sets (PLTSs) has offered a novel integrated model in which the CRiteria Importance Through Intercriteria Correlation (CRITIC) method is employed for calculating the objective weights of various attributes and the MABAC method with PLTSs is used to acquire the final ranking result of a medical consumption product supplier. Additionally, so as to indicate the applicability of the devised method, this model is confirmed by a numerical case for the supplier selection of medical consumption products. Some comparative studies are made with some existing methods. The proposed method can also successfully select suitable alternatives in other selection problems.

Suggested Citation

  • Guiwu Wei & Cun Wei & Jiang Wu & Hongjun Wang, 2019. "Supplier Selection of Medical Consumption Products with a Probabilistic Linguistic MABAC Method," IJERPH, MDPI, vol. 16(24), pages 1-15, December.
    • Handle: RePEc:gam:jijerp:v:16:y:2019:i:24:p:5082-:d:297316
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    References listed on IDEAS

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    1. Zhijia Yan & Wenting Yang & Xiaoling Huang & Xiangrong Shi & Wenyu Zhang & Shuai Zhang, 2019. "A Reputation-Enhanced Hybrid Approach for Supplier Selection with Intuitionistic Fuzzy Evaluation Information," Mathematics, MDPI, vol. 7(3), pages 1-17, March.
    2. Mei Tang & Jie Wang & Jianping Lu & Guiwu Wei & Cun Wei & Yu Wei, 2019. "Dual Hesitant Pythagorean Fuzzy Heronian Mean Operators in Multiple Attribute Decision Making," Mathematics, MDPI, vol. 7(4), pages 1-27, April.
    3. Opricovic, Serafim & Tzeng, Gwo-Hshiung, 2004. "Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS," European Journal of Operational Research, Elsevier, vol. 156(2), pages 445-455, July.
    4. B Zhu & Z S Xu, 2013. "Hesitant fuzzy Bonferroni means for multi-criteria decision making," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 64(12), pages 1831-1840, December.
    5. Jie Wang & Jianping Lu & Guiwu Wei & Rui Lin & Cun Wei, 2019. "Models for MADM with Single-Valued Neutrosophic 2-Tuple Linguistic Muirhead Mean Operators," Mathematics, MDPI, vol. 7(5), pages 1-26, May.
    6. Yongming Song & Guangxu Li, 2019. "A large-scale group decision-making with incomplete multi-granular probabilistic linguistic term sets and its application in sustainable supplier selection," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 70(5), pages 827-841, May.
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    Citations

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    Cited by:

    1. Dragan Pamucar & Ali Ebadi Torkayesh & Sanjib Biswas, 2023. "Supplier selection in healthcare supply chain management during the COVID-19 pandemic: a novel fuzzy rough decision-making approach," Annals of Operations Research, Springer, vol. 328(1), pages 977-1019, September.
    2. Liangping Wu & Guiwu Wei & Jiang Wu & Cun Wei, 2020. "Some Interval-Valued Intuitionistic Fuzzy Dombi Heronian Mean Operators and their Application for Evaluating the Ecological Value of Forest Ecological Tourism Demonstration Areas," IJERPH, MDPI, vol. 17(3), pages 1-31, January.
    3. Santonab Chakraborty & Baneswar Sarkar & Shankar Chakraborty, 2023. "A FUCOM-MABAC-based integrated approach for performance evaluation of the Indian National Parks," OPSEARCH, Springer;Operational Research Society of India, vol. 60(1), pages 125-154, March.
    4. Jianping Lu & Tingting He & Guiwu Wei & Jiang Wu & Cun Wei, 2020. "Cumulative Prospect Theory: Performance Evaluation of Government Purchases of Home-Based Elderly-Care Services Using the Pythagorean 2-tuple Linguistic TODIM Method," IJERPH, MDPI, vol. 17(6), pages 1-21, March.
    5. Hui Gao & Linggang Ran & Guiwu Wei & Cun Wei & Jiang Wu, 2020. "VIKOR Method for MAGDM Based on Q-Rung Interval-Valued Orthopair Fuzzy Information and Its Application to Supplier Selection of Medical Consumption Products," IJERPH, MDPI, vol. 17(2), pages 1-14, January.

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