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A PL-MCDM Method based on the Decision-Making Reliability of Multi-Group for Patients with Chronic Diseases Requiring Downward Referral

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Abstract

With the number of patients with chronic diseases increasing, a hierarchical diagnosis and treatment system is a feature of long-term treatment. During the treatment, if patients with chronic diseases are relieved, they can be referred to community hospitals for rehabilitation treatment, and to promote the rational allocation of hospital medical resources. Therefore, hospitals need referral standards to encourage patients to refer down. Existing ranking research which is mainly based on referral criteria,has not considered the low reliability due to different opinions within each group when making referral standard. In view of this, we propose a probabilistic linguistic-multiple criteria decision-making (PL-MCDM) method based on the decision-making reliability of multi-group for patients with chronic diseases requiring downward referral. First, the decision information of different groups on referral criteria is expressed as probabilistic linguistic preferences, and then the reliability levels of groups are measured when setting standards respectively. After that, the decision information and referral standards are re-adjusted for the least reliable group to improve the whole reliability. Secondly, the patients requiring downward referral are ranked by the similarity measure based on statistics of probability preference to acquire the formal referral standards. Finally, compared with the methods without reliability improvement, the real case of coronary heart disease in First Hospital of Qinhuangdao is used to verify the effectiveness of the proposed method, which illustrates its superiority.

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References

  1. Zhang H, Dong Y, Xiao J, Chiclana F, Herrera-Viedma E (2020) Personalized individual semantics-based approach for linguistic failure modes and effects analysis with incomplete preference information. IISE Trans 52:1275–1296

    Article  Google Scholar 

  2. Zhang H, Li C, Liu Y, Dong Y (2021) Modelling personalized individual semantics and consensus in comparative linguistic expression preference relations with self-confidence: an optimization-based approach. IEEE Trans Fuzzy Syst 29:627–640

  3. Lin M, Chen Z, Liao H, Xu Z (2019) ELECTRE II method to deal with probabilistic linguistic term sets and its application to edge computing. Nonlinear Dyn 96:2125-2143

  4. Lin M, Chen Z, Xu Z, Gou X, Herrera F (2021) Score function based on concentration degree for probabilistic linguistic term sets: An application to TOPSIS and VIKOR. Inf Sci 551:270-290

  5. He Q, Li X, Kim D, Jia X, Gu X, Zhen X, Zhou L (2020) Feasibility study of a multi-criteria decision-making based hierarchical model for multi-modality feature and multi-classififier fusion: Applications in medical prognosis prediction. Inf Fusion 55:207-219

  6. Baccour L (2018) Amended fused TOPSIS-VIKOR for classifification (ATOVIC) applied to some UCI data sets. Expert Syst Appl 99:115-125

  7. Liao H, Long Y, Tang M, Štreimikienė D, Lev B (2019) Early lung cancer screening using double normalization-based multi-aggregation (DNMA) and Delphi methods with hesitant fuzzy information. Comput Ind Eng 136:453–463

  8. Ren P, Xu Z, Liao H, Zeng X (2017) A thermodynamic method of intuitionistic fuzzy MCDM to assist the hierarchical medical system in China. Inf Sci 420:490-504

  9. Zheng Y, He Y, Xu Z, Pedrycz W (2018) Assessment for hierarchical medical policy proposals using hesitant fuzzy linguistic analytic network process. Knowl-Based Syst 161:254-267

  10. Wu H, Xu Z, Ren P, Liao H (2018) Hesitant fuzzy linguistic projection model to multi-criteria decision making for hospital decision support systems. Comput Ind Eng 115: 449-458

  11. Li B, Xu Z, Zhang Y (2021) A probabilistic linguistic evaluation-based multi-stage medical scheme selection process related to referral system. Expert Syst Appl 170:114523

  12. Xue M, Fu C, Yang S (2020) Dynamic Expert Reliability Based Feedback Mechanism in Consensus Reaching Process with Distributed Preference Relations. Group Decis Negot (3):1-35

  13. Gou X, Liao H, Xu Z, Min R, Herrera F (2019) Group decision making with double hierarchy hesitant fuzzy linguistic preference relations: Consistency based measures, index and repairing algorithms and decision model. Inf Sci 489: 93-112

  14. Zhao M, Ma X, Wei D (2017) A method considering and adjusting individual consistency and group consensus for group decision making with incomplete linguistic preference relations. Appl Soft Comput 54:322-346

  15. Zhang S, Zhu J, Liu X, Chen Y, Ma Z (2017) Adaptive consensus model with multiplicative linguistic preferences based on fuzzy information granulation. Appl Soft Comput 60:30-47

  16. Ma Z, Zhu J, Chen Y (2020) A probabilistic linguistic group decision-making method from a reliability perspective based on evidential reasoning. IEEE Trans on Syst, Man, and Cybernetics: Syst 50(7):2421-2435

  17. Meng F, An Q, Tan C, Chen X (2016) An Approach for Group Decision Making With Interval Fuzzy Preference Relations Based on Additive Consistency and Consensus Analysis. IEEE Trans on Syst, Man, and Cybernetics: Syst 47(8):2069-2082

  18. Ma Z, Kumaraswamy, P, Zhu J, Zhang S (2018) Dynamic hesitant fuzzy linguistic group decision-making from a reliability perspective. J Syst Eng Electron 29:1009-1021

  19. Liu P, Zhang X, Pedrycz W (2021) A consensus model for hesitant fuzzy linguistic group decision-making in the framework of Dempster-Shafer evidence theory. Knowl-Based Syst 212:106559

  20. Cherif S, Baklouti N, Hagras H, Alimi AM. (2021) Novel intuitionistic based interval type-2 fuzzy similarity measures with application to clustering. IEEE Trans Fuzzy Syst PP(99):1-1

  21. Xue M, Fu C, Yang SL (2020) Group consensus reaching based on a combination of expert weight and expert reliability. Appl Math Comput 369:124902

  22. Fan Y, Xiao F (2020) TDIFS: Two dimensional intuitionistic fuzzy sets. Eng Appl Artif Intell 95:103882

  23. You P, Liu X, Sun J (2021) A multi-attribute group decision making method considering both the correlation coefficient and hesitancy degrees under interval-valued intuitionistic fuzzy environment. Appl Soft Comput 104:107187

  24. Wang L, Wang Y, Pedrycz W (2019) Hesitant 2-tuple linguistic Bonferroni operators and their utilization in group decision making. Appl Soft Comput 77:653-664

  25. Zhang R, Li Z, Liao H (2018) Multiple-attribute decision-making method based on the correlation coefficient between dual hesitant fuzzy linguistic term sets. Knowl-Based Syst 159:186-192

  26. Pang Q, Wang H, Xu Z (2016) Probabilistic linguistic term sets in multi-attribute group decision making. Inf Sci 369:128-143

  27. Gou X, Xu Z, Herrera F (2018) Consensus reaching process for large-scale group decision making with double hierarchy hesitant fuzzy linguistic preference relations. Knowl-Based Syst 157:20-33

  28. Zhang X, Liao H, Xu B, Xiong M (2020) A probabilistic linguistic-based deviation method for multi-expert qualitative decision making with aspirations. Appl Soft Comput 93:106362

  29. Bai C, Zhang R, Qian L, Wu Y (2017) Comparisons of probabilistic linguistic term sets for multi-criteria decision making. Knowl-Based Syst 119:284-291

  30. Gu J, Zheng Y, X Tian, Xu Z (2020) A decision-making framework based on prospect theory with probabilistic linguistic term sets. J Oper Res Soc (4):1-10

  31. Liao H, Gou X, Xu Z, Zeng X, Herrera F (2020) Hesitancy degree-based correlation measures for hesitant fuzzy linguistic term sets and their applications in multiple criteria decision making. Inf Sci 508:275-292

  32. Zhu T, Luo L, Liao H, Zhang X, Shen W (2019) A hybrid multi-criteria decision making model for elective admission control in a Chinese public hospital. Knowl-Based Syst 173:37-51

  33. Li J, Luo L, Wu X, Liao C, Liao H, Shen W (2019) Prioritizing the elective surgery patient admission in a Chinese public tertiary hospital using the hesitant fuzzy linguistic ORESTE method. Appl Soft Comput 78:407-419

  34. Gou X, Xu Z (2016) Novel basic operational laws for linguistic terms, hesitant fuzzy linguistic term sets and probabilistic linguistic term sets. Inf Sci 372:407-427

  35. Zhou X, Ji F, Wang L, Ma Y, Fujita H (2020) Particle swarm optimization for trust relationship based social network group decision making under a probabilistic linguistic environment. Knowl-Based Syst 200:105999

  36. Wu J, Zhao Z, Sun Q, Fujita H (2021) A maximum self-esteem degree based feedback mechanism for group consensus reaching with the distributed linguistic trust propagation in social network. Inf Fusion 67:80-93

  37. Meng F, Tang J, Fujita H (2019) Consistency-based algorithms for decision making with interval fuzzy preference relations. IEEE Trans Fuzzy Syst 27:2052-2066

  38. Tan X, Zhu J, Cabrerizo FJ, Herrera-Viedma E (2021) A cyclic dynamic trust-based consensus model for large-scale group decision making with probabilistic linguistic information. Appl Soft Comput 100(2):106937

  39. Tang M, Liao H, Xu J, Štreimikienė D, Zheng X (2020) Adaptive consensus reaching process with hybrid strategies for large-scale group decision making. Eur J Oper Res 282(3):957-971

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Acknowledgements

The work presented in this paper is supported by the National Natural Science Foundation of China (No. 71701037, 71971051), Fundamental Research Funds for the Central Universities (N2123020), and Youth Top-notch Talent Support Program of Hebei province (No. BJ2020211).

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Authors and Affiliations

  1. School of Business Administration, Northeastern University, Shenyang, 110819, Liaoning, China

    Meng Zhao & Xiaoran Wang

  2. Business School, Sichuan University, Chengdu, 610064, China

    Meng Zhao & Zeshui Xu

  3. School of Management, Harbin Institute of Technology, Harbin, 150001, Heilongjiang, China

    Mei Lin

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  1. Meng Zhao
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  2. Xiaoran Wang
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  4. Mei Lin
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Correspondence to Zeshui Xu.

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Zhao, M., Wang, X., Xu, Z. et al. A PL-MCDM Method based on the Decision-Making Reliability of Multi-Group for Patients with Chronic Diseases Requiring Downward Referral. Appl Intell 52, 2655–2670 (2022). https://doi.org/10.1007/s10489-021-02436-w

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