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Group decision-making with interval multiplicative preference relations

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Abstract

This paper discusses group decision-making (GDM) with interval multiplicative preference relations (IMPRs) based on the geometric consistency. We propose a logarithmically geometric compatibility degree between two IMPRs and then define a geometrically logarithmic consistency index of IMPRs. The new consistency index of IMPRs is invariant under permutation of alternatives and transpose of IMPRs. By the statistics theory, the thresholds of the geometrically logarithmic consistency index are provided. For an unacceptably consistent IMPR, an interactive iterative algorithm is designed to improve its consistency level. Using the relationship between an interval weight vector (IWV) and an IMPR, a fuzzy programming model is established to derive an IWV. This model is converted into a linear programming model for resolution. Subsequently, a new individual decision-making (IDM) method with an IMPR is put forward. By minimizing the logarithmically geometric compatibility degree between each individual IMPR and the collective one, a convex programming model is built to determine experts’ weights. Consequently, a novel GDM method with IMPRs is presented. Numerical examples and simulation experiments are conducted to reveal the superiority of the proposed IDM method and GDM method.

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References

  1. Meng F, Tang J, Xu Z (2019) Deriving priority weights from intuitionistic fuzzy multiplicative preference relations. Int J Intell Syst 34(11):2937–2969

    Article  Google Scholar 

  2. Lin M, Zhan Q, Xu Z (2020) Decision making with probabilistic hesitant fuzzy information based on multiplicative consistency. Int J Intell Syst 35(8):1233–1261

    Article  Google Scholar 

  3. Meng F et al (2019) A new procedure for hesitant multiplicative preference relations. Int J Intell Syst 34(5):819–857

    Article  Google Scholar 

  4. Wang F (2021) Geometric consistency of triangular fuzzy multiplicative preference relation and its application to group decision making. Knowl Inf Syst 63:21–38

    Article  Google Scholar 

  5. Rani D, Garg H (2021) Complex intuitionistic fuzzy preference relations and their applications in individual and group decision-making problems. Int J Intell Syst 36(4):1800–1830

    Article  Google Scholar 

  6. Wan S-P, Jin Z, Dong J-Y (2017) Pythagorean fuzzy mathematical programming method for multi-attribute group decision making with Pythagorean fuzzy truth degrees. Knowl Inf Syst 55(2):437–466

    Article  Google Scholar 

  7. Wan S-P, Jin Z, Dong J-Y (2020) A new order relation for Pythagorean fuzzy numbers and application to multi-attribute group decision making. Knowl Inf Syst 62(2):751–785

    Article  Google Scholar 

  8. Saaty TL (1977) A scaling method for priorities in hierarchical structures. J Math Psychol 15(3):234–281

    Article  MathSciNet  MATH  Google Scholar 

  9. Xu Y, Gao P, Martínez L (2019) An interindividual iterative consensus model for fuzzy preference relations. Int J Intell Syst 34(8):1864–1888

    Article  Google Scholar 

  10. Xu Y, Wen X, Zhang Z (2019) Missing values estimation for incomplete uncertain linguistic preference relations and its application in group decision making. J Intell Fuzzy Syst 36(2):1809–1822

    Article  Google Scholar 

  11. Saaty TL, Vargas LG (1987) Uncertainty and rank order in the analytic hierarchy process. Eur J Oper Res 32(1):107–117

    Article  MathSciNet  MATH  Google Scholar 

  12. Brunelli M, Fedrizzi M (2015) Axiomatic properties of inconsistency indices for pairwise comparisons. J Oper Res Soc 66(1):1–15

    Article  MATH  Google Scholar 

  13. Vargas LG (2008) The consistency index in reciprocal matrices: comparison of deterministic and statistical approaches. Eur J Oper Res 191(2):454–463

    Article  MATH  Google Scholar 

  14. Lin C, Kou G, Ergu D (2014) A statistical approach to measure the consistency level of the pairwise comparison matrix. J Oper Res Soc 65(9):1380–1386

    Article  Google Scholar 

  15. Amenta P, Lucadamo A, Marcarelli G (2020) On the transitivity and consistency approximated thresholds of some consistency indices for pairwise comparison matrices. Inf Sci 507:274–287

    Article  Google Scholar 

  16. Salo AA, Hämäläinen RP (1997) On the measurement of preferences in the analytic hierarchy process. J Multi-criteria Decis Anal 6:309–319

    Article  MATH  Google Scholar 

  17. Wang ZJ, Lin J, Liu F (2019) Axiomatic property based consistency analysis and decision making with interval multiplicative reciprocal preference relations. Inf Sci 491:109–137

    Article  MathSciNet  MATH  Google Scholar 

  18. Meng F, Tan C (2017) A new consistency concept for interval multiplicative preference relations. Appl Soft Comput 52:262–276

    Article  Google Scholar 

  19. Li KW, Wang ZJ, Tong X (2016) Acceptability analysis and priority weight elicitation for interval multiplicative comparison matrices. Eur J Oper Res 250(2):628–638

    Article  MathSciNet  MATH  Google Scholar 

  20. Liu F (2009) Acceptable consistency analysis of interval reciprocal comparison matrices. Fuzzy Sets Syst 160(18):2686–2700

    Article  MathSciNet  MATH  Google Scholar 

  21. Wang Y-M, Yang J-B, Xu D-L (2005) Interval weight generation approaches based on consistency test and interval comparison matrices. Appl Math Comput 167(1):252–273

    Article  MathSciNet  MATH  Google Scholar 

  22. Krejčí J (2017) On multiplicative consistency of interval and fuzzy reciprocal preference relations. Comput Ind Eng 111:67–78

    Article  Google Scholar 

  23. Zhang H (2015) A consistency model for group decision making problems with interval multiplicative preference relations. Appl Soft Comput 34:60–71

    Article  Google Scholar 

  24. Aguarón J, Moreno-Jiménez JM (2003) The geometric consistency index: Approximated thresholds. Eur J Oper Res 147(1):137–145

    Article  MATH  Google Scholar 

  25. Liu F, Zhang W-G, Shang Y-F (2016) A group decision-making model with interval multiplicative reciprocal matrices based on the geometric consistency index. Comput Ind Eng 101:184–193

    Article  Google Scholar 

  26. Conde E, Pérez MDPR (2010) A linear optimization problem to derive relative weights using an interval judgement matrix. Eur J Oper Res 201(2):537–544

    Article  MathSciNet  MATH  Google Scholar 

  27. Dong YC et al (2015) Consistency issues of interval pairwise comparison matrices. Soft Comput 19(8):2321–2335

    Article  MATH  Google Scholar 

  28. Wu J et al (2009) The induced continuous ordered weighted geometric operators and their application in group decision making. Comput Ind Eng 56(4):1545–1552

    Article  Google Scholar 

  29. Zhou L et al (2016) The optimal group continuous logarithm compatibility measure for interval multiplicative preference relations based on the COWGA operator. Inf Sci 328:250–269

    Article  MATH  Google Scholar 

  30. Crawford G, Williams C (1985) A note on the analysis of subjective judgment matrices. J Math Psychol 29(4):387–405

    Article  MATH  Google Scholar 

  31. Zhang Z (2017) Logarithmic least squares approaches to deriving interval weights, rectifying inconsistency and estimating missing values for interval multiplicative preference relations. Soft Comput 21(14):3993–4004

    Article  MATH  Google Scholar 

  32. Koksalmis E, Kabak Ö (2019) Deriving decision makers’ weights in group decision making: an overview of objective methods. Information Fusion 49:146–160

    Article  Google Scholar 

  33. Wang B, Liang J, Qian Y (2014) Determining decision makers’ weights in group ranking: a granular computing method. Int J Mach Learn Cybern 6(3):511–521

    Article  Google Scholar 

  34. Yager RR, Xu ZS (2006) The continuous ordered weighted geometric operator and its application to decision making. Fuzzy Sets Syst 157(10):1393–1402

    Article  MathSciNet  MATH  Google Scholar 

  35. Zhang Z, Pedrycz W (2019) A consistency and consensus-based goal programming method for group decision-making with interval-valued intuitionistic multiplicative preference relations. IEEE Trans Cybern 49(10):3640–3654

    Article  Google Scholar 

  36. Liu F et al (2018) A group decision making model based on an inconsistency index of interval multiplicative reciprocal matrices. Knowl Based Syst 145:67–76

    Article  Google Scholar 

  37. Wang Z-J (2018) Comments on “A group decision-making model with interval multiplicative reciprocal matrices based on the geometric consistency index.” Comput Ind Eng 117:131–137

    Article  Google Scholar 

  38. Wang Z-J (2018) A note on a group decision making model based on a generalized ordered weighted geometric average operator with interval preference matrices. Fuzzy Sets Syst 341:145–153

    Article  MathSciNet  MATH  Google Scholar 

  39. Yager RR (1988) On ordered weighted averaging aggregation operators in multicriteria decisionmaking. IEEE Trans Syst Man Cyberen 18(1):183–190

    Article  MathSciNet  MATH  Google Scholar 

  40. Alefeld G, Herzberger J (1993) Introduction to interval computations. Academic Press, London

    MATH  Google Scholar 

  41. Wang YL, Chen HY, Zhou LG (2013) Logarithm compatibility of interval multiplicative preference relations with an application to determining the optimal weights of experts in the group decision making. Group Decis Negot 22(4):759–772

    Article  Google Scholar 

  42. Escobar MT, Aguarón J, Moreno-Jiménez JM (2015) Some extensions of the precise consistency consensus matrix. Decis Support Syst 74:67–77

    Article  Google Scholar 

  43. Brunelli M (2017) Studying a set of properties of inconsistency indices for pairwise comparisons. Ann Oper Res 248(1–2):143–161

    Article  MathSciNet  MATH  Google Scholar 

  44. Xu Y, Liu X, Wang H (2018) The additive consistency measure of fuzzy reciprocal preference relations. Int J Mach Learn Cybern 9(7):1141–1152

    Article  Google Scholar 

  45. Bellman RE, Zadeh LA (1970) Decision-making in a fuzzy environment. Manage Sci 17(4):141–164

    Article  MathSciNet  MATH  Google Scholar 

  46. Liu F, Pedrycz W, Zhang W-G (2017) Limited rationality and its quantification through the interval number judgments with permutations. IEEE Trans Cybern 47(12):4025–4037

    Article  Google Scholar 

  47. Wang Z-J (2015) Consistency analysis and priority derivation of triangular fuzzy preference relations based on modal value and geometric mean. Inf Sci 314:169–183

    Article  MathSciNet  MATH  Google Scholar 

  48. Xia M, Chen J (2015) Studies on interval multiplicative preference relations and their application to group decision making. Group Decis Negot 24(1):115–144

    Article  Google Scholar 

  49. Al Salem AA, Awasthi A (2018) Investigating rank reversal in reciprocal fuzzy preference relation based on additive consistency: causes and solutions. Comput Ind Eng 2018(115):573–581

    Article  Google Scholar 

  50. Yuan R, Wu Z, Tu J (2022) Large-scale group decision-making with incomplete fuzzy preference relations: The perspective of ordinal consistency. Fuzzy Sets Syst. https://doi.org/10.1016/j.fss.2022.04.021

    Article  Google Scholar 

  51. Wan S-P, Yan J, Dong J-Y (2022) Personalized individual semantics based consensus reaching process for large-scale group decision making with probabilistic linguistic preference relations and application to COVID-19 surveillance. Expert Syst Appl 191:116328

    Article  Google Scholar 

Download references

Acknowledgements

This research was supported by the National Natural Science Foundation of China (Nos. 62263012, 62141302 and 11861034), the Humanities Social Science Programming Project of Ministry of Education of China (No. 20YJA630059), The Natural Science Foundation of Jiangxi Province of China (No.20212BAB201011), The Science and Technology Research Project of Hubei Education Department (No. D20211303), the Philosophy and Social Science Project of Hubei Education Department (No. 20Y035).

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Shuping Wan: Supervision, Writing- Reviewing and Editing Xianjuan Cheng: Conceptualization, Methodology, Writing- Original draft, Visualization Jiuying Dong: Software, Formal analysis.

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Correspondence to Xianjuan Cheng.

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Wan, S., Cheng, X. & Dong, J. Group decision-making with interval multiplicative preference relations. Knowl Inf Syst 65, 2305–2346 (2023). https://doi.org/10.1007/s10115-022-01816-z

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