IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v11y2023i8p1859-d1123108.html
   My bibliography  Save this article

Study on the Selection of Pharmaceutical E-Commerce Platform Considering Bounded Rationality under Probabilistic Hesitant Fuzzy Environment

Author

Listed:
  • Zixue Guo

    (School of Management, Hebei University, Baoding 071002, China
    Center for Common Prosperity Research, Hebei University, Baoding 071002, China)

  • Sijia Liu

    (School of Management, Hebei University, Baoding 071002, China)

Abstract

The selection of a pharmaceutical e-commerce platform is a typical multi-attribute group decision-making (MAGDM) problem. MAGDM is a common problem in the field of decision-making, which is full of uncertainty and fuzziness. A probabilistic hesitant fuzzy multi-attribute group decision-making method based on generalized TODIM is proposed for the selection of pharmaceutical e-commerce under an uncertain environment. Firstly, the credibility of a probabilistic hesitant fuzzy element is defined, and a credibility-based method for adjusting the weights of decision-makers and determining attribute weights is proposed, which fully considers the reliability of information provided by the decision-makers. Secondly, the power average (PA) operator is extended to the probabilistic hesitant fuzzy environment. The probabilistic hesitant fuzzy power average (PHFPA) operator and the probabilistic hesitant fuzzy power weighted average (PHFPWA) operator are defined, and their properties are discussed. Thirdly, considering the usual information expression of decision-makers in real life and the different risk attitudes towards gain and loss, the generalized TODIM method is extended to the probabilistic hesitant fuzzy environment to construct a prospect theory-based group decision-making method in the probabilistic hesitant fuzzy environment. Finally, the feasibility of the method in this paper is proved through the case of pharmaceutical e-commerce platform selection, and the stability of the method in this paper is verified by sensitivity analysis.

Suggested Citation

  • Zixue Guo & Sijia Liu, 2023. "Study on the Selection of Pharmaceutical E-Commerce Platform Considering Bounded Rationality under Probabilistic Hesitant Fuzzy Environment," Mathematics, MDPI, vol. 11(8), pages 1-21, April.
    • Handle: RePEc:gam:jmathe:v:11:y:2023:i:8:p:1859-:d:1123108
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/11/8/1859/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2227-7390/11/8/1859/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Zeshui Xu & Wei Zhou, 2017. "Consensus building with a group of decision makers under the hesitant probabilistic fuzzy environment," Fuzzy Optimization and Decision Making, Springer, vol. 16(4), pages 481-503, December.
    2. Llamazares, Bonifacio, 2018. "An analysis of the generalized TODIM method," European Journal of Operational Research, Elsevier, vol. 269(3), pages 1041-1049.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Wajid Ali & Tanzeela Shaheen & Hamza Ghazanfar Toor & Faraz Akram & Md. Zia Uddin & Mohammad Mehedi Hassan, 2023. "An Innovative Decision Model Utilizing Intuitionistic Hesitant Fuzzy Aczel-Alsina Aggregation Operators and Its Application," Mathematics, MDPI, vol. 11(12), pages 1-22, June.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Dheeraj Kumar Joshi & Ismat Beg & Sanjay Kumar, 2018. "Hesitant Probabilistic Fuzzy Linguistic Sets with Applications in Multi-Criteria Group Decision Making Problems," Mathematics, MDPI, vol. 6(4), pages 1-20, March.
    2. Hongyue Diao & Ansheng Deng & Hui Cui & Xin Liu & Li Zou, 2022. "An approach for solving fuzzy multi-criteria decision problem under linguistic information," Fuzzy Optimization and Decision Making, Springer, vol. 21(1), pages 45-69, March.
    3. Qasim Noor & Tabasam Rashid & Syed Muhammad Husnine, 2021. "An extended TDM method under probabilistic interval-valued hesitant fuzzy environment for stock selection," PLOS ONE, Public Library of Science, vol. 16(5), pages 1-24, May.
    4. Kedar Pandurang Joshi & Amol Dhaigude, 2021. "Revenue management for homestay with TODIM-integrated EMSR-b," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 20(2), pages 134-148, April.
    5. Xiao-kang Wang & Sheng-hui Wang & Hong-yu Zhang & Jian-qiang Wang & Lin Li, 2021. "The Recommendation Method for Hotel Selection Under Traveller Preference Characteristics: A Cloud-Based Multi-Criteria Group Decision Support Model," Group Decision and Negotiation, Springer, vol. 30(6), pages 1433-1469, December.
    6. Víctor Blanco & Román Salmerón & Samuel Gómez-Haro, 2018. "A Multicriteria Selection System Based on Player Performance: Case Study—The Spanish ACB Basketball League," Group Decision and Negotiation, Springer, vol. 27(6), pages 1029-1046, December.
    7. Leoneti, Alexandre Bevilacqua & Gomes, Luiz Flavio Autran Monteiro, 2021. "Modeling multicriteria group decision making as games from enhanced pairwise comparisons," Operations Research Perspectives, Elsevier, vol. 8(C).
    8. Zhe Chai & Yihan Zhang & Lanyi Wei & Junhui Liu & Yao Lu & Chunzheng Tian & Zhaoyuan Wu, 2024. "Value Evaluation Model of Multi-Temporal Energy Storage for Flexibility Provision in Microgrids," Energies, MDPI, vol. 17(9), pages 1-16, April.
    9. Yigit Kazancoglu & Cisem Lafci & Anil Kumar & Sunil Luthra & Jose Arturo Garza‐Reyes & Yalcin Berberoglu, 2024. "The role of agri‐food 4.0 in climate‐smart farming for controlling climate change‐related risks: A business perspective analysis," Business Strategy and the Environment, Wiley Blackwell, vol. 33(4), pages 2788-2802, May.
    10. Jefferson Costa & Maisa Silva, 2024. "Multicriteria Decision-Making in Public Security: A Systematic Review," Mathematics, MDPI, vol. 12(11), pages 1-21, June.
    11. Indre Siksnelyte-Butkiene & Dalia Streimikiene & Tomas Balezentis & Virgilijus Skulskis, 2021. "A Systematic Literature Review of Multi-Criteria Decision-Making Methods for Sustainable Selection of Insulation Materials in Buildings," Sustainability, MDPI, vol. 13(2), pages 1-21, January.
    12. Songtao Shao & Xiaohong Zhang, 2019. "Measures of Probabilistic Neutrosophic Hesitant Fuzzy Sets and the Application in Reducing Unnecessary Evaluation Processes," Mathematics, MDPI, vol. 7(7), pages 1-23, July.
    13. Akan Narabin & Phairoj Samutrak, 2023. "Teaching assistant selection in Thailand by using an extended VIKOR based on piecewise linear approximation of fuzzy numbers," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 33(3), pages 89-104.
    14. Weiming Li & Jun Ye, 2022. "Group Decision-Making Problems Based on Mixed Aggregation Operations of Interval-Valued Fuzzy and Entropy Elements in Single- and Interval-Valued Fuzzy Environments," Mathematics, MDPI, vol. 10(7), pages 1-15, March.
    15. Du, Puliang & Chen, Zhong & Gong, Xiaomin, 2020. "Load response potential evaluation for distribution networks: A hybrid decision-making model with intuitionistic normal cloud and unknown weight information," Energy, Elsevier, vol. 192(C).
    16. Harish Garg & Gagandeep Kaur, 2018. "Algorithm for Probabilistic Dual Hesitant Fuzzy Multi-Criteria Decision-Making Based on Aggregation Operators with New Distance Measures," Mathematics, MDPI, vol. 6(12), pages 1-30, November.
    17. Juliet Orji, Ifeyinwa & Ojadi, Frank & Kalu Okwara, Ukoha, 2022. "The nexus between e-commerce adoption in a health pandemic and firm performance: The role of pandemic response strategies," Journal of Business Research, Elsevier, vol. 145(C), pages 616-635.
    18. Huchang Liao & Xiaomei Mi & Zeshui Xu, 2020. "A survey of decision-making methods with probabilistic linguistic information: bibliometrics, preliminaries, methodologies, applications and future directions," Fuzzy Optimization and Decision Making, Springer, vol. 19(1), pages 81-134, March.
    19. Leoneti, Alexandre Bevilacqua & Gomes, Luiz Flavio Autran Monteiro, 2021. "A novel version of the TODIM method based on the exponential model of prospect theory: The ExpTODIM method," European Journal of Operational Research, Elsevier, vol. 295(3), pages 1042-1055.
    20. Hüseyin Akay & Müsteyde Baduna Koçyiğit, 2021. "An Approach for Determination of the Drainage Network Effect on GIUH Using Hesitant Probabilistic Fuzzy Linguistic Sets," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(11), pages 3873-3902, September.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jmathe:v:11:y:2023:i:8:p:1859-:d:1123108. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.