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Novel Gained and Lost Dominance Score Method Based on Cumulative Prospect Theory for Group Decision-Making Problems in Probabilistic Hesitant Fuzzy Environment

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Abstract

The paper aims to present a new method to solve the multi-attribute group decision-making (MAGDM) problem under the probabilistic hesitant fuzzy environment. For this, we present the novel concept of gained and lost dominance score (GLDS) method based on cumulative prospect theory (CPT). The major advantage of the proposed GLDS method is that it concentrates on the loss aversion of the decision-makers (DMs), while we integrated the CPT to evaluate the risk aversion considering the DM’s rational behavior. Meanwhile, the weights among criterions are evaluated by using the process of analytic hierarchy process (AHP) method. The stated MAGDM algorithm has been implemented in a numerical example of sustainable supplier selection (SSS) for medical device manufacturing enterprises. SSS is an active development with the global advocacy of green economy and green supply chain and considered it as the typical MAGDM issue. The results have been compared with several of the existing approaches to validate its supremacy.

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References

  1. Tabatabaei, M.H., Amiri, M., Firouzabadi, S., Ghahremanloo, M., Keshavarz-Ghorabaee, M., Saparauskas, J.: A new group decision-making model based on BWM and its application to managerial problems. Transform. Bus. Econ. 18, 197–214 (2019)

    Google Scholar 

  2. Davoudabadi, R., Mousavi, S.M., Saparauskas, J., Gitinavard, H.: Solving construction project selection problem by a new uncertain weighting and ranking based on compromise solution with linear assignment approach. J. Civ. Eng. Manag. 25, 241–251 (2019)

    Google Scholar 

  3. Hashemi, H., Mousavi, S.M., Zavadskas, E.K., Chalekaee, A., Turskis, Z.: A new group decision model based on Grey-Intuitionistic Fuzzy-ELECTRE and VIKOR for contractor assessment problem. Sustainability. 10, 1635 (2018)

    Google Scholar 

  4. Yazdani, M., Zarate, P., Coulibaly, A., Zavadskas, E.K.: A group decision making support system in logistics and supply chain management. Expert Syst. Appl. 88, 376–392 (2017)

    Google Scholar 

  5. Liu, P.D., Zhang, X.H.: Some intuitionistic uncertain linguistic Bonferroni mean operators and their application to group decision making. Soft. Comput. 23, 3869–3886 (2019)

    MATH  Google Scholar 

  6. Liu, P., Wang, P.: Multiple attribute group decision making method based on intuitionistic fuzzy einstein interactive operations. Int. J. Fuzzy Syst. 22, 790–809 (2020)

    Google Scholar 

  7. He, Y., Wei, G., Chen, X.: Taxonomy-based multiple attribute group decision making method with probabilistic uncertain linguistic information and its application in supplier selection. J. Intell. Fuzzy Syst. 41, 3237–3250 (2021)

    Google Scholar 

  8. He, Y., Wei, G., Chen, X.: Bidirectional projection method for multi-attribute group decision making under probabilistic uncertain linguistic environment. J. Intell. Fuzzy Syst. 41, 1429–1443 (2021)

    Google Scholar 

  9. Qin, J.D., Liu, X.W., Pedrycz, W.: An extended TODIM multi-criteria group decision making method for green supplier selection in interval type-2 fuzzy environment. Eur. J. Oper. Res. 258, 626–638 (2017)

    MathSciNet  MATH  Google Scholar 

  10. Liu, P.D., Shen, M.J., Teng, F., Zhu, B.Y., Rong, L.L., Geng, Y.S.: Double hierarchy hesitant fuzzy linguistic entropy-based TODIM approach using evidential theory. Inf. Sci. 547, 223–243 (2021)

    Google Scholar 

  11. Su, Y., Zhao, M., Wei, C., Chen, X.: PT-TODIM method for probabilistic linguistic MAGDM and application to industrial control system security supplier selection. Int. J. Fuzzy Syst. 24, 202–215 (2022)

    Google Scholar 

  12. Zhang, D., Su, Y., Zhao, M., Chen, X.: CPT-TODIM method for interval neutrosophic MAGDM and its application to third-party logistics service providers selection. Technol. Econ. Dev. Econ. 28, 201–219 (2022)

    Google Scholar 

  13. He, T.T., Wei, G.W., Wu, J., Wei, C.: QUALIFLEX method for evaluating human factors in construction project management with Pythagorean 2-tuple linguistic information. J. Intell. Fuzzy Syst. 40, 4039–4050 (2021)

    Google Scholar 

  14. Lei, F., Wei, G.W., Wu, J., Wei, C., Guo, Y.F.: QUALIFLEX method for MAGDM with probabilistic uncertain linguistic information and its application to green supplier selection. J. Intell. Fuzzy Syst. 39, 6819–6831 (2020)

    Google Scholar 

  15. Lin, M.W., Huang, C., Xu, Z.S.: TOPSIS method based on correlation coefficient and entropy measure for linguistic pythagorean fuzzy sets and its application to multiple attribute decision making. Complexity 2019, 16 (2019)

    MATH  Google Scholar 

  16. Jin, J.L., Zhao, P., You, T.J.: Picture fuzzy TOPSIS method based on CPFRS model: an application to risk management problems. Sci. Program. 2021, 15 (2021)

    Google Scholar 

  17. Zhang, H.Y., Wei, G.W., Wei, C.: TOPSIS method for spherical fuzzy MAGDM based on cumulative prospect theory and combined weights and its application to residential location. J. Intell. Fuzzy Syst. 42, 1367–1380 (2022)

    Google Scholar 

  18. Keshavarz Ghorabaee, M., Zavadskas, E.K., Turskis, Z., Antucheviciene, J.: A new combinative distance-based assessment (CODAS) method for multi-criteria decision-making. Econ. Comput. Econ. Cybern. Studies. Res. 50, 25–44 (2016)

    Google Scholar 

  19. Lei, F., Wei, G., Chen, X.: Model-based evaluation for online shopping platform with probabilistic double hierarchy linguistic CODAS method. Int. J. Intell. Syst. 36, 5339–5358 (2021)

    Google Scholar 

  20. Bolturk, E.: Pythagorean fuzzy CODAS and its application to supplier selection in a manufacturing firm. J. Enterp. Inf. Manag. 31, 550–564 (2018)

    Google Scholar 

  21. Stevic, Z., Vasiljevic, M., Puska, A., Tanackov, I., Junevicius, R., Veskovic, S.: Evaluation of suppliers under uncertainty: a multiphase approach based on fuzzy ahp and fuzzy EDAS. Transport 34, 52–66 (2019)

    Google Scholar 

  22. Hasheminasab, H., Zolfani, S.H., Bitarafan, M., Chatterjee, P., Ezabadi, A.A.: The role of facade materials in blast-resistant buildings: an evaluation based on fuzzy DELPHI and fuzzy EDAS. Algorithms. 12, 119 (2019)

    Google Scholar 

  23. Wei, G., Wei, C., Guo, Y.: EDAS method for probabilistic linguistic multiple attribute group decision making and their application to green supplier selection. Soft. Comput. 25, 9045–9053 (2021)

    Google Scholar 

  24. Huang, Y., Lin, R., Chen, X.: An enhancement EDAS method based on prospect theory. Technol. Econ. Dev. Econ. 27, 1019–1038 (2021)

    Google Scholar 

  25. Jiang, Z., Wei, G., Chen, X.: EDAS method based on cumulative prospect theory for multiple attribute group decision-making under picture fuzzy environment. J. Intell. Fuzzy Syst. 42, 1723–1735 (2022)

    Google Scholar 

  26. Lei, F., Wei, G., Shen, W., Guo, Y.: PDHL-EDAS method for multiple attribute group decision making and its application to 3D printer selection. Technol. Econ. Dev. Econ. 28, 179–200 (2022)

    Google Scholar 

  27. Opricovic, S., Tzeng, G.H.: Compromise solution by MCDM methods: a comparative analysis of VIKOR and TOPSIS. Eur. J. Oper. Res. 156, 445–455 (2004)

    MATH  Google Scholar 

  28. Opricovic, S., Tzeng, G.H.: Extended VIKOR method in comparison with outranking methods. Eur. J. Oper. Res. 178, 514–529 (2007)

    MATH  Google Scholar 

  29. He, T.T., Wei, G.W., Lin, R., Lu, J.P., Wei, C., Wu, J.: Pythagorean interval 2-tuple linguistic VIKOR method for evaluating human factors in construction project management. Iran J Fuzzy Syst. 17, 93–105 (2020)

    Google Scholar 

  30. Wu, X.L., Liao, H.C.: A consensus-based probabilistic linguistic gained and lost dominance score method. Eur. J. Oper. Res. 272, 1017–1027 (2019)

    MathSciNet  MATH  Google Scholar 

  31. Wang, W.Z., Liu, X.W., Liu, S.L.: Failure mode and effect analysis for machine tool risk analysis using extended gained and lost dominance score method. IEEE Trans. Reliab. 69, 954–967 (2020)

    Google Scholar 

  32. Wu, X., Liao, H.: A gained and lost dominance score method with conflict analysis for green economy development evaluation. Ann Operat Res (2021). https://doi.org/10.1007/s10479-10021-04200-10472

    Article  MATH  Google Scholar 

  33. Liu, L., Wu, J., Wei, G.W., Wei, C., Wang, J., Wei, Y.: Entropy-based GLDS method for social capital selection of a PPP project with q-Rung Orthopair fuzzy information. Entropy 22, 414 (2020)

    MathSciNet  Google Scholar 

  34. Fan, J.P., Yan, F., Wu, M.Q.: GLDS method for multiple attribute group decision making under 2-Tuple linguistic neutrosophic environment. J Intell Fuzzy Syst. 40, 11523–11538 (2021)

    Google Scholar 

  35. Tversky, A., Kahneman, D.: Advances in prospect theory: cumulative representation of uncertainty. J. Risk Uncertain. 5, 297–323 (1992)

    MATH  Google Scholar 

  36. Zadeh, L.A.: Fuzzy sets. Inf. Control 8, 338–356 (1965)

    MATH  Google Scholar 

  37. Atanassov, K.T.: Intuitionistic fuzzy sets. Fuzzy Sets Syst. 20, 87–96 (1986)

    MATH  Google Scholar 

  38. Torra, V.: Hesitant fuzzy sets. Int. J. Intell. Syst. 25, 529–539 (2010)

    MATH  Google Scholar 

  39. Xu, Z.S., Zhou, W.: Consensus building with a group of decision makers under the hesitant probabilistic fuzzy environment. Fuzzy Optim. Decis. Making 16, 481–503 (2017)

    MathSciNet  MATH  Google Scholar 

  40. Zhang, S., Xu, Z.S., He, Y.: Operations and integrations of probabilistic hesitant fuzzy information in decision making. Inf. Fusion. 38, 1–11 (2017)

    Google Scholar 

  41. Song, C.Y., Xu, Z.S., Zhao, H.: A novel comparison of probabilistic hesitant fuzzy elements in multi-criteria decision making. Symmetry-Basel. 10, 12 (2018)

    Google Scholar 

  42. Song, C.Y., Xu, Z.S., Zhao, H.: New correlation coefficients between probabilistic hesitant fuzzy sets and their applications in cluster analysis. Int. J. Fuzzy Syst. 21, 355–368 (2019)

    MathSciNet  Google Scholar 

  43. Gao, J., Xu, Z.S., Zhang, Y.S.: Integral aggregations of continuous probabilistic hesitant fuzzy sets. IEEE Trans. Fuzzy Syst. 30, 676–686 (2022)

    Google Scholar 

  44. Xu, T.T., Zhang, H., Li, B.Q.: Fuzzy entropy and hesitancy entropy in probabilistic hesitant fuzzy information and their applications. Soft. Comput. 26, 9101–9115 (2022)

    Google Scholar 

  45. Sha, X.Y., Yin, C.C., Xu, Z.S., Zhang, S.: Probabilistic hesitant fuzzy TOPSIS emergency decision-making method based on the cumulative prospect theory. J Intell Fuzzy Syst. 40, 4367–4383 (2021)

    Google Scholar 

  46. Song, H.F., Chen, Z.C.: Multi-attribute decision-making method based distance and COPRAS method with probabilistic hesitant fuzzy environment. Int. J. Comput. Intell. Syst. 14, 1229–1241 (2021)

    Google Scholar 

  47. Lv, J., Mao, Q.H., Li, Q.W., Yu, R.F.: A group emergency decision-making method for epidemic prevention and control based on probabilistic hesitant fuzzy prospect set considering quality of information. Int. J. Comput. Intell. Syst. 15, 20 (2022)

    Google Scholar 

  48. Amindoust, A., Ahmed, S., Saghafinia, A., Bahreininejad, A.: Sustainable supplier selection: a ranking model based on fuzzy inference system. Appl. Soft Comput. 12, 1668–1677 (2012)

    Google Scholar 

  49. Govindan, K., Khodaverdi, R., Jafarian, A.: A fuzzy multi criteria approach for measuring sustainability performance of a supplier based on triple bottom line approach. J. Clean. Prod. 47, 345–354 (2013)

    Google Scholar 

  50. Alavi, B., Tavana, M., Mina, H.: A dynamic decision support system for sustainable supplier selection in circular economy. Sustain. Product. Consumption. 27, 905–920 (2021)

    Google Scholar 

  51. Baghizadeh, K., Zimon, D.: L Jum’a: modeling and optimization sustainable forest supply chain considering discount in transportation system and supplier selection under uncertainty. Forests 12, 29 (2021)

    Google Scholar 

  52. Cheraghalipour, A., Farsad, S.: A bi-objective sustainable supplier selection and order allocation considering quantity discounts under disruption risks: a case study in plastic industry. Comput. Ind. Eng. 118, 237–250 (2018)

    Google Scholar 

  53. Stevic, Z., Pamucar, D., Puska, A., Chatterjee, P.: Sustainable supplier selection in healthcare industries using a new MCDM method: Measurement of alternatives and ranking according to COmpromise solution (MARCOS). Comput. Ind. Eng. 140, 15 (2020)

    Google Scholar 

  54. Li, J., Chen, Q.X., Niu, L.L., Wang, Z.X.: An ORESTE approach for multi-criteria decision-making with probabilistic hesitant fuzzy information. Int. J. Mach. Learn. Cybern. 11, 1591–1609 (2020)

    Google Scholar 

  55. Liao, N.N., Wei, G.W., Chen, X.D.: TODIM method based on cumulative prospect theory for multiple attributes group decision making under probabilistic hesitant fuzzy setting. Int. J. Fuzzy Syst. 24, 322–339 (2022)

    Google Scholar 

  56. Tversky, A., Kahneman, D.: Prospect theory: an analysis of decision under risk. Econometrica 47, 263–291 (1979)

    MathSciNet  MATH  Google Scholar 

  57. Su, Y., Zhao, M., Wei, G., Wei, C., Chen, X.: Probabilistic uncertain linguistic EDAS method based on prospect theory for multiple attribute group decision-making and its application to green finance. Int. J. Fuzzy Syst. 24, 1318–1331 (2022)

    Google Scholar 

  58. Zhang, H., Wei, G., Chen, X.: SF-GRA method based on cumulative prospect theory for multiple attribute group decision making and its application to emergency supplies supplier selection. Eng. Appl. Artif. Intell. 110, 104679 (2022)

    Google Scholar 

  59. Jiang, Z., Wei, G., Guo, Y.: Picture fuzzy MABAC method based on prospect theory for multiple attribute group decision making and its application to suppliers selection. J Intell Fuzzy Syst. 42, 3405–3415 (2022)

    Google Scholar 

  60. Zhao, M., Wei, G., Chen, X., Wei, Y.: Intuitionistic fuzzy MABAC method based on cumulative prospect theory for multiple attribute group decision making. Int. J. Intell. Syst. 36, 6337–6359 (2021)

    Google Scholar 

  61. Zhao, M., Wei, G., Guo, Y., Chen, X.: CPT-TODIM method for interval-valued bipolar fuzzy multiple attribute group decision making and application to industrial control security service provider selection. Technol. Econ. Dev. Econ. 27, 1186–1206 (2021)

    Google Scholar 

  62. Saaty, T.L.: A scaling method for priorities in hierarchical structures. J. Math. Psychol. 15, 234–281 (2000)

    MathSciNet  MATH  Google Scholar 

  63. Buyukozkan, G.: An integrated fuzzy multi-criteria group decision-making approach for green supplier evaluation. Int. J. Prod. Res. 50, 2892–2909 (2012)

    Google Scholar 

  64. Zhang, W.K., Du, J., Tian, X.L.: Finding a promising venture capital project with TODIM under probabilistic hesitant fuzzy circumstance. Technol Econ Dev Econ. 24, 2026–2044 (2018)

    Google Scholar 

  65. Gomes, L., Lima, M.: TODIM: basics and application to multicriteria ranking of projects with environmental impacts. Foundations Comput Dec Sci. 16, 113–127 (1979)

    MATH  Google Scholar 

  66. Li, J., Wang, Z.X.: Consensus building for probabilistic hesitant fuzzy preference relations with expected additive consistency. Int. J. Fuzzy Syst. 20, 1495–1510 (2018)

    MathSciNet  Google Scholar 

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Acknowledgement

The work was supported by the Sichuan Province Social Development Key R&D Projects under Grant No. 2023YFS0375.

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Correspondence to Harish Garg.

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Liao, N., Cai, Q., Garg, H. et al. Novel Gained and Lost Dominance Score Method Based on Cumulative Prospect Theory for Group Decision-Making Problems in Probabilistic Hesitant Fuzzy Environment. Int. J. Fuzzy Syst. 25, 1414–1428 (2023). https://doi.org/10.1007/s40815-022-01440-7

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