IDEAS home Printed from https://ideas.repec.org/a/spr/annopr/v341y2024i1d10.1007_s10479-022-04843-9.html
   My bibliography  Save this article

Doctor recommendation under probabilistic linguistic environment considering patient’s risk preference

Author

Listed:
  • Xiaohong Chen

    (Central South University
    Hunan University of Technology and Business
    Hunan University of Technology and Business)

  • Hui Wang

    (Central South University)

  • Xihua Li

    (Central South University)

Abstract

Currently, patients tend to browse online reviews before choosing a satisfactory doctor. To better help patients make such choices, a doctor recommendation model under a probabilistic linguistic environment with an unbalanced semantic distribution is developed. First, a probabilistic linguistic term set (PLTS) is utilized to represent online evaluation information on doctors via natural language processing tools due to its advantage in modeling uncertainty in the online linguistic context. Then, to depict the different impacts of positive and negative evaluations in the context of doctor recommendations, the unbalanced semantic functions of a PLTS are proposed. Moreover, a comprehensive weight-determining method that combines the term frequency-inverse document frequency algorithm and the Word2Vec algorithm is developed considering the interrelationship among different criteria on patients’ decisions. An extended technique for order performance by similarity to the ideal solution method based on PLTS is proposed. Finally, the proposed method is verified in a case study on haodf.com. The findings show that it is vital to consider patients’ different risk preferences when building an online doctor recommendation model.

Suggested Citation

  • Xiaohong Chen & Hui Wang & Xihua Li, 2024. "Doctor recommendation under probabilistic linguistic environment considering patient’s risk preference," Annals of Operations Research, Springer, vol. 341(1), pages 555-581, October.
  • Handle: RePEc:spr:annopr:v:341:y:2024:i:1:d:10.1007_s10479-022-04843-9
    DOI: 10.1007/s10479-022-04843-9
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10479-022-04843-9
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10479-022-04843-9?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Dong Zhang & Chong Wu & Jiaming Liu, 2020. "Ranking products with online reviews: A novel method based on hesitant fuzzy set and sentiment word framework," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 71(3), pages 528-542, March.
    2. Ling Pan & Peijia Ren & Zeshui Xu, 2018. "Therapeutic Schedule Evaluation for Brain-Metastasized Non-Small Cell Lung Cancer with A Probabilistic Linguistic ELECTRE II Method," IJERPH, MDPI, vol. 15(9), pages 1-23, August.
    3. Zhang, Hong-yu & Ji, Pu & Wang, Jian-qiang & Chen, Xiao-hong, 2017. "A novel decision support model for satisfactory restaurants utilizing social information: A case study of TripAdvisor.com," Tourism Management, Elsevier, vol. 59(C), pages 281-297.
    4. Wu, Xingli & Liao, Huchang, 2021. "Modeling personalized cognition of customers in online shopping," Omega, Elsevier, vol. 104(C).
    5. Meng Zhao & Xinyuan Shen & Huchang Liao & Mingyao Cai, 2022. "Selecting products through text reviews: An MCDM method incorporating personalized heuristic judgments in the prospect theory," Fuzzy Optimization and Decision Making, Springer, vol. 21(1), pages 21-44, March.
    6. 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.
    7. Ye, Yan & Zhao, Yang & Shang, Jennifer & Zhang, Liyi, 2019. "A hybrid IT framework for identifying high-quality physicians using big data analytics," International Journal of Information Management, Elsevier, vol. 47(C), pages 65-75.
    8. Wu, Xingli & Liao, Huchang, 2019. "A consensus-based probabilistic linguistic gained and lost dominance score method," European Journal of Operational Research, Elsevier, vol. 272(3), pages 1017-1027.
    9. Xiaolu Zhang & Xiaoming Xing, 2017. "Probabilistic Linguistic VIKOR Method to Evaluate Green Supply Chain Initiatives," Sustainability, MDPI, vol. 9(7), pages 1-18, July.
    10. Xingli Wu & Huchang Liao, 2021. "Learning judgment benchmarks of customers from online reviews," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 43(4), pages 1125-1157, December.
    11. Nan Liu & Stacey R. Finkelstein & Margaret E. Kruk & David Rosenthal, 2018. "When Waiting to See a Doctor Is Less Irritating: Understanding Patient Preferences and Choice Behavior in Appointment Scheduling," Management Science, INFORMS, vol. 64(5), pages 1975-1996, May.
    12. 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.
    Full references (including those not matched with items on IDEAS)

    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. Liu, Fan & Liao, Huchang & Al-Barakati, Abdullah, 2023. "Physician selection based on user-generated content considering interactive criteria and risk preferences of patients," Omega, Elsevier, vol. 115(C).
    2. Wu, Xingli & Liao, Huchang, 2021. "Modeling personalized cognition of customers in online shopping," Omega, Elsevier, vol. 104(C).
    3. Mehrbakhsh Nilashi & Abbas Mardani & Huchang Liao & Hossein Ahmadi & Azizah Abdul Manaf & Wafa Almukadi, 2019. "A Hybrid Method with TOPSIS and Machine Learning Techniques for Sustainable Development of Green Hotels Considering Online Reviews," Sustainability, MDPI, vol. 11(21), pages 1-21, October.
    4. Min Xue & Chao Fu & Shanlin Yang, 2022. "A comparative analysis of probabilistic linguistic preference relations and distributed preference relations for decision making," Fuzzy Optimization and Decision Making, Springer, vol. 21(1), pages 71-97, March.
    5. Decui Liang & Zhuoyin Dai & Mingwei Wang & Jinjun Li, 2020. "Web celebrity shop assessment and improvement based on online review with probabilistic linguistic term sets by using sentiment analysis and fuzzy cognitive map," Fuzzy Optimization and Decision Making, Springer, vol. 19(4), pages 561-586, December.
    6. Hong-gang Peng & Jian-qiang Wang, 2020. "Multi-criteria sorting decision making based on dominance and opposition relations with probabilistic linguistic information," Fuzzy Optimization and Decision Making, Springer, vol. 19(4), pages 435-470, December.
    7. Meng Zhao & Xinyuan Shen & Huchang Liao & Mingyao Cai, 2022. "Selecting products through text reviews: An MCDM method incorporating personalized heuristic judgments in the prospect theory," Fuzzy Optimization and Decision Making, Springer, vol. 21(1), pages 21-44, March.
    8. Wu, Xingli & Liao, Huchang, 2023. "Value-driven preference disaggregation analysis for uncertain preference information," Omega, Elsevier, vol. 115(C).
    9. Yongming Song, 2018. "Deriving the priority weights from probabilistic linguistic preference relation with unknown probabilities," PLOS ONE, Public Library of Science, vol. 13(12), pages 1-17, December.
    10. A. D. Shrivathsan & R. Krishankumar & Arunodaya Raj Mishra & K. S. Ravichandran & Samarjit Kar & V. Badrinath, 2020. "An Integrated Decision Approach with Probabilistic Linguistic Information for Test Case Prioritization," Mathematics, MDPI, vol. 8(11), pages 1-16, October.
    11. 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.
    12. Zhao, Meng & Xu, Chang & Zhao, Wenxian & Lin, Mingwei, 2023. "New energy vehicle online selection method considering attribute compensation relationship and aspiration strength," Journal of Retailing and Consumer Services, Elsevier, vol. 75(C).
    13. Zhang, Chonghui & Zhang, Na & Su, Weihua & Balezentis, Tomas, 2024. "Online commodity recommendation model for interaction between user ratings and intensity-weighted hierarchical sentiment: A case study of LYCOM," Omega, Elsevier, vol. 129(C).
    14. Gong, Zaiwu & Guo, Weiwei & Słowiński, Roman, 2021. "Transaction and interaction behavior-based consensus model and its application to optimal carbon emission reduction," Omega, Elsevier, vol. 104(C).
    15. Pratibha Rani & Arunodaya Raj Mishra & Abbas Mardani & Fausto Cavallaro & Dalia Štreimikienė & Syed Abdul Rehman Khan, 2020. "Pythagorean Fuzzy SWARA–VIKOR Framework for Performance Evaluation of Solar Panel Selection," Sustainability, MDPI, vol. 12(10), pages 1-18, May.
    16. Yayi Yuan & Zeshui Xu & Yixin Zhang, 2022. "The DEMATEL–COPRAS hybrid method under probabilistic linguistic environment and its application in Third Party Logistics provider selection," Fuzzy Optimization and Decision Making, Springer, vol. 21(1), pages 137-156, March.
    17. Ahani, Ali & Nilashi, Mehrbakhsh & Yadegaridehkordi, Elaheh & Sanzogni, Louis & Tarik, A. Rashid & Knox, Kathy & Samad, Sarminah & Ibrahim, Othman, 2019. "Revealing customers’ satisfaction and preferences through online review analysis: The case of Canary Islands hotels," Journal of Retailing and Consumer Services, Elsevier, vol. 51(C), pages 331-343.
    18. Xunjie Gou & Zeshui Xu & Xinxin Wang & Huchang Liao, 2021. "Managing consensus reaching process with self-confident double hierarchy linguistic preference relations in group decision making," Fuzzy Optimization and Decision Making, Springer, vol. 20(1), pages 51-79, March.
    19. Čaušević Amra & Fusté-Forné Francesc, 2022. "Local Cuisine in a Tourist City: Food Identity in Sarajevo Restaurant Menus as a Source of Destination Marketing," European Journal of Tourism, Hospitality and Recreation, Sciendo, vol. 12(1), pages 61-77, December.
    20. 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.

    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:spr:annopr:v:341:y:2024:i:1:d:10.1007_s10479-022-04843-9. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.