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A Linear Assignment Method for Multiple Criteria Decision Analysis with Hesitant Fuzzy Sets Based on Fuzzy Measure

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Abstract

The aim of this paper is to develop an approach to solve the multiple criteria decision making (MCDM) problems under the hesitant fuzzy environment, in which the criteria values take the form of the hesitant fuzzy elements (HFEs) and the information about criteria weights are correlative. Based on the λ-fuzzy measure, we firstly get the weight vector of the criteria. Secondly, we propose the linear assignment method to acquire the optimal preference ranking of the alternatives according to a set of criteria-wise rankings and a set of criteria importance within the context of HFEs on the basis of the Hesitant Euclidean distance. Finally, a practical example about talent introduction is given to verify the developed approach and to demonstrate its practicality and effectiveness.

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References

  1. Kuo, M.S., Tzeng, G.H., Huang, W.C.: Group decision-making based on concepts of ideal and anti-ideal points in a fuzzy environment. Math. Comput. Model. 45, 324–339 (2007)

    Article  MathSciNet  MATH  Google Scholar 

  2. Zhang, S.: A model for evaluating computer network security systems with 2-tuple linguistic information. Comput. Math. Appl. 62, 1916–1922 (2011)

    Article  MathSciNet  MATH  Google Scholar 

  3. Wibowo, S., Deng, H.: A fuzzy rule-based approach for screening international distribution centres. Comput. Math. Appl. 64, 1084–1092 (2012)

    Article  Google Scholar 

  4. Zadeh, L.A.: Fuzzy sets. Inf. Control 8, 338–353 (1965)

    Article  MATH  Google Scholar 

  5. Atanassov, K.: More on intuitionistic fuzzy sets. Fuzzy Sets Syst. 33, 37–45 (1989)

    Article  MathSciNet  MATH  Google Scholar 

  6. Szmidt, E., Kacprzyk, J.: Distances between intuitionistic fuzzy sets. Fuzzy Sets Syst. 114, 505–518 (2000)

    Article  MathSciNet  MATH  Google Scholar 

  7. Chiclana, F., Herrera, F., Herrera-Viedma, E.: Integrating multiplicative preference relations in a multipurpose decision-making model based on fuzzy preference relations. Fuzzy Sets Syst. 122, 277–291 (2001)

    Article  MathSciNet  MATH  Google Scholar 

  8. Grzegorzewski, P.: Distances between intuitionistic fuzzy sets and/or interval-valued fuzzy sets based on the Hausdorff metric. Fuzzy Sets Syst. 148, 319–328 (2004)

    Article  MathSciNet  MATH  Google Scholar 

  9. Mitchell, H.: A correlation coefficient for intuitionistic fuzzy sets. Int. J. Intell. Syst. 19, 483–490 (2004)

    Article  MATH  Google Scholar 

  10. Pei, Z., Zheng, L.: A novel approach to multi-attribute decision making based on intuitionistic fuzzy sets. Expert Syst. Appl. 39, 2560–2566 (2012)

    Article  Google Scholar 

  11. Feng, F., Li, Y., Leoreanu-Fotea, V.: Application of level soft sets in decision making based on interval-valued fuzzy soft sets. Comput. Math Appl. 60, 1756–1767 (2010)

    Article  MathSciNet  MATH  Google Scholar 

  12. Xu, Z.S., Xia, M.M.: Distance and similarity measures for hesitant fuzzy sets. Inf. Sci. 181, 2128–2138 (2011)

    Article  MathSciNet  MATH  Google Scholar 

  13. Xu, Z.S., Xia, M.M.: On distance and correlation measures of hesitant fuzzy information. Int. J. Intell. Syst. 26, 410–425 (2011)

    Article  MATH  Google Scholar 

  14. Zhao, N., Xu, Z.S., Liu, F.: Uncertainty measures for hesitant fuzzy information. Int. J. Intell. Syst. 30(7), 818–836 (2015)

    Article  Google Scholar 

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

    MATH  Google Scholar 

  16. Xia, M.M., Xu, Z.S.: Hesitant fuzzy information aggregation in decision making. Int. J. Approx. Reason. 52, 395–407 (2011)

    Article  MathSciNet  MATH  Google Scholar 

  17. Xia, M.M., Xu, Z.S., Chen, N.: Some hesitant fuzzy aggregation operators with their application in group decision making. Group Decis. Negot. 22, 259–279 (2011)

    Article  Google Scholar 

  18. Gu, X., Wang, Y., Yang, B.: A method for hesitant fuzzy multiple attribute decision making and its application to risk investment. J. Converg. Inf. Technol. 6, 282–288 (2011)

    Article  Google Scholar 

  19. Wei, G.W.: Hesitant fuzzy prioritized operators and their application to multiple attribute decision making. Knowl. Based Syst. 31, 176–182 (2012)

    Article  Google Scholar 

  20. Zhang, N., Wei, G.W.: Extension of VIKOR method for decision making problem based on hesitant fuzzy set. Appl. Math. Model. 37, 4938–4947 (2013)

    Article  MathSciNet  Google Scholar 

  21. Grabisch, M.: Fuzzy integral in multicriteria decision making. Fuzzy Sets Syst. 69, 279–298 (1995)

    Article  MathSciNet  MATH  Google Scholar 

  22. Grabisch, M.: The application of fuzzy integrals in multicriteria decision making. Eur. J. Oper. Res. 89, 445–456 (1996)

    Article  MATH  Google Scholar 

  23. Xu, Z.S., Cai, X.Q.: Recent advances in intuitionistic fuzzy information aggregation. Fuzzy Optim. Decis. Mak. 9, 359–381 (2010)

    Article  MathSciNet  MATH  Google Scholar 

  24. Wei, G.W., Zhao, X.F., Wang, H.J., Lin, R.: Hesitant fuzzy Choquet integral aggregation operators and their applications to multiple attribute decision making. Inf. Int. Interdiscip. J. 15, 441–448 (2012)

    Google Scholar 

  25. Sugeno, M., Terano, T.: A model of learning based on fuzzy information. Kybernetes 6, 157–166 (1977)

    Article  MATH  Google Scholar 

  26. Fujimoto, K., Kojadinovic, I., Marichal, J.L.: Axiomatic characterizations of probabilistic and cardinal-probabilistic interaction indices. Games Econ. Behav. 55, 72–99 (2006)

    Article  MathSciNet  MATH  Google Scholar 

  27. Kojadinovic, I.: Modeling interaction phenomena using fuzzy measures: on the notions of interaction and independence. Fuzzy Sets Syst. 135, 317–340 (2003)

    Article  MathSciNet  MATH  Google Scholar 

  28. Li, S., Zhang, Q.: The measure of interaction among players in games with fuzzy coalitions. Fuzzy Sets Syst. 159, 119–137 (2008)

    Article  MathSciNet  MATH  Google Scholar 

  29. Marichal, J.L., Kojadinovic, I., Fujimoto, K.: Axiomatic characterizations of generalized values. Discret. Appl. Math. 155, 26–43 (2007)

    Article  MathSciNet  MATH  Google Scholar 

  30. Grabisch, M., Labreuche, C.: A decade of application of the Choquet and Sugeno integrals in multi-criteria decision aid. Oper. Res. 6, 1–44 (2008)

    Article  MathSciNet  MATH  Google Scholar 

  31. Labreuche, C., Grabisch, M.: The Choquet integral for the aggregation of interval scales in multicriteria decision making. Fuzzy Sets Syst. 137, 11–26 (2003)

    Article  MathSciNet  MATH  Google Scholar 

  32. Tan, C., Chen, X.: Intuitionistic fuzzy Choquet integral operator for multi-criteria decision making. Expert Syst. Appl. 37, 149–157 (2010)

    Article  Google Scholar 

  33. Choquet, G.: Theory of capacities. Ann. l’institut Fourier 5, 131–295 (1953)

    Article  MathSciNet  MATH  Google Scholar 

  34. Bernardo, J.J., Blin, J.M.: A programming model of consumer choice among multi-attributed brands. J. Consum. Res. 4, 111–118 (1977)

    Article  Google Scholar 

  35. Amiri, M., Zandieh, M., Soltani, R., Vahdani, B.: A hybrid multi-criteria decision-making model for firms competence evaluation. Expert Syst. Appl. 36, 12314–12322 (2009)

    Article  Google Scholar 

  36. Chen, S.J.J., Hwang, C.L., Beckmann, M.J., Krelle, W.: Fuzzy multiple attribute decision making: methods and applications. Springer-Verlag, New York (1992)

    Book  Google Scholar 

  37. Lin, C.J., Wen, U.P.: A labeling algorithm for the fuzzy assignment problem. Fuzzy Sets Syst. 142, 373–391 (2004)

    Article  MathSciNet  MATH  Google Scholar 

  38. Liu, H.T., Wang, W.K.: An integrated fuzzy approach for provider evaluation and selection in third-party logistics. Expert Syst. Appl. 36, 4387–4398 (2009)

    Article  Google Scholar 

  39. Jahan, A., Ismail, M.Y., Mustapha, F., Sapuan, S.M.: Material selection based on ordinal data. Mater. Des. 31, 3180–3187 (2010)

    Article  Google Scholar 

  40. Bashiri, M., Badri, H.: A group decision making procedure for fuzzy interactive linear assignment programming. Expert Syst. Appl. 38, 5561–5568 (2011)

    Article  Google Scholar 

  41. Bashiri, M., Badri, H., Hejazi, T.H.: Selecting optimum maintenance strategy by fuzzy interactive linear assignment method. Appl. Math. Model. 35, 152–164 (2011)

    Article  MathSciNet  MATH  Google Scholar 

  42. Chen, T.-Y.: A linear assignment method for multiple-criteria decision analysis with interval type-2 fuzzy sets. Appl. Soft Comput. 13, 2735–2748 (2012)

    Article  Google Scholar 

  43. Liu, H.W., Wang, G.J.: Multi-criteria decision-making methods based on intuitionistic fuzzy sets. Eur. J. Oper. Res. 179, 220–233 (2007)

    Article  MATH  Google Scholar 

  44. Merigó, J.M., Gil-Lafuente, A.M.: The induced generalized OWA operator. Inf. Sci. 179, 729–741 (2009)

    Article  MathSciNet  MATH  Google Scholar 

  45. Merigó, J.M., Casanovas, M.: Induced aggregation operators in decision making with the Dempster-Shafer belief structure. Int. J. Intell. Syst. 24, 934–954 (2009)

    Article  MATH  Google Scholar 

  46. Sugeno, M.: Theory of fuzzy integrals and applications. Diss., Tokyo Institute of Technology (1974)

  47. Szmidt, E., Kacprzyk, J.: A similarity measure for intuitionistic fuzzy sets and its application in supporting medical diagnostic reasoning. Artif. Intell. Soft Comput. ICAISC 2004(3070), 388–393 (2004)

    MATH  Google Scholar 

  48. Herrera, F., Herrera-Viedma, E.: Linguistic decision analysis: steps for solving decision problems under linguistic information. Fuzzy Sets Syst. 115, 67–82 (2000)

    Article  MathSciNet  MATH  Google Scholar 

  49. Wei, G., Zhao, X., Lin, R.: Some hesitant interval-valued fuzzy aggregation operators and their applications to multiple attribute decision making. Knowl. Based Syst. 46, 43–53 (2013)

    Article  Google Scholar 

  50. Chen, T.Y.: Nonlinear assignment-based methods for interval-valued intuitionistic fuzzy multi-criteria decision analysis with incomplete preference information. Int. J. Inf. Technol. Decis. Mak. (2012). doi:10.1142/S0219622012500228

    Google Scholar 

  51. Ye, J.: Interval-valued hesitant fuzzy prioritized weighted aggregation operators for multiple attribute decision making. J. Algorithms Comput. Technol. 8(2), 179–192 (2014)

    Article  MathSciNet  MATH  Google Scholar 

  52. Merigo, J.M., Casanovas, M., Liu, P.D.: Decision making with fuzzy induced heavy ordered weighted averaging operators. Int. J. Fuzzy Syst. 16(3), 277–289 (2014)

    Google Scholar 

  53. Meng, F.Y., Chen, X.H., Zhang, Q.: Generalized hesitant fuzzy generalized Shapley-Choquet integral operators and their application in decision making. Int. J. Fuzzy Syst. 16(3), 400–410 (2014)

    Google Scholar 

  54. Liao, H.C., Xu, Z.S., Zeng, X.J., Merigó, J.M.: Qualitative decision making with correlation coefficients of hesitant fuzzy linguistic term sets. Knowl. Based Syst. 76, 127–138 (2015)

    Article  Google Scholar 

  55. Wei, G.: Approaches to interval intuitionistic trapezoidal fuzzy multiple attribute decision making with incomplete weight information. Int. J. Fuzzy Syst. 17(3), 484–489 (2015)

    Article  MathSciNet  Google Scholar 

  56. Ran, L.-G., Wei, G.: Uncertain prioritized operators and their application to multiple attribute group decision making. Technol. Econ. Dev. Econ. 21(1), 118–139 (2015)

    Article  Google Scholar 

  57. Lin, R., Zhao, X., Wang, H., Wei, G.: Hesitant fuzzy linguistic aggregation operators and their application to multiple attribute decision making. J. Intell. Fuzzy Syst. 27, 49–63 (2014)

    MathSciNet  MATH  Google Scholar 

  58. Lin, R., Zhao, X., Wei, G.: Models for selecting an ERP system with hesitant fuzzy linguistic information. J. Intell. Fuzzy Syst. 26(5), 2155–2165 (2014)

    MathSciNet  MATH  Google Scholar 

  59. Li, X., Wei, G.: GRA method for multiple criteria group decision making with incomplete weight information under hesitant fuzzy setting. J. Intell. Fuzzy Syst. 27, 1095–1105 (2014)

    MathSciNet  MATH  Google Scholar 

  60. Wang, H., Zhao, X., Wei, G.: Dual hesitant fuzzy aggregation operators in multiple attribute decision making. J. Intell. Fuzzy Syst. 26(5), 2281–2290 (2014)

    MathSciNet  MATH  Google Scholar 

  61. Wei, G., Lin, R., Wang, H.: Distance and similarity measures for hesitant interval-valued fuzzy sets. J. Intell. Fuzzy Syst. 27(1), 19–36 (2014)

    MathSciNet  MATH  Google Scholar 

  62. Wei, G., Wang, H., Zhao, X., Lin, R.: Hesitant triangular fuzzy information aggregation in multiple attribute decision making. J. Intell. Fuzzy Syst. 26(3), 1201–1209 (2014)

    MathSciNet  MATH  Google Scholar 

  63. Zhao, X., Lin, R., Wei, G.: Hesitant triangular fuzzy information aggregation based on einstein operations and their application to multiple attribute decision making. Expert Syst. Appl. 41(4), 1086–1094 (2014)

    Article  Google Scholar 

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Acknowledgments

The work was supported by the National Natural Science Foundation of China under Grant No. 61174149 and 71571128 and the Humanities and Social Sciences Foundation of Ministry of Education of the People’s Republic of China (Nos. 14YJCZH091, 15XJA630006) and the construction plan of scientific research innovation team for colleges and universities in Sichuan Province (15TD0004).

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Correspondence to Guiwu Wei.

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Wei, G., Alsaadi, F.E., Hayat, T. et al. A Linear Assignment Method for Multiple Criteria Decision Analysis with Hesitant Fuzzy Sets Based on Fuzzy Measure. Int. J. Fuzzy Syst. 19, 607–614 (2017). https://doi.org/10.1007/s40815-016-0177-x

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