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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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)
Zhang, S.: A model for evaluating computer network security systems with 2-tuple linguistic information. Comput. Math. Appl. 62, 1916–1922 (2011)
Wibowo, S., Deng, H.: A fuzzy rule-based approach for screening international distribution centres. Comput. Math. Appl. 64, 1084–1092 (2012)
Zadeh, L.A.: Fuzzy sets. Inf. Control 8, 338–353 (1965)
Atanassov, K.: More on intuitionistic fuzzy sets. Fuzzy Sets Syst. 33, 37–45 (1989)
Szmidt, E., Kacprzyk, J.: Distances between intuitionistic fuzzy sets. Fuzzy Sets Syst. 114, 505–518 (2000)
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)
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)
Mitchell, H.: A correlation coefficient for intuitionistic fuzzy sets. Int. J. Intell. Syst. 19, 483–490 (2004)
Pei, Z., Zheng, L.: A novel approach to multi-attribute decision making based on intuitionistic fuzzy sets. Expert Syst. Appl. 39, 2560–2566 (2012)
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)
Xu, Z.S., Xia, M.M.: Distance and similarity measures for hesitant fuzzy sets. Inf. Sci. 181, 2128–2138 (2011)
Xu, Z.S., Xia, M.M.: On distance and correlation measures of hesitant fuzzy information. Int. J. Intell. Syst. 26, 410–425 (2011)
Zhao, N., Xu, Z.S., Liu, F.: Uncertainty measures for hesitant fuzzy information. Int. J. Intell. Syst. 30(7), 818–836 (2015)
Torra, V.: Hesitant fuzzy sets. Int. J. Intell. Syst. 25, 529–539 (2010)
Xia, M.M., Xu, Z.S.: Hesitant fuzzy information aggregation in decision making. Int. J. Approx. Reason. 52, 395–407 (2011)
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)
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)
Wei, G.W.: Hesitant fuzzy prioritized operators and their application to multiple attribute decision making. Knowl. Based Syst. 31, 176–182 (2012)
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)
Grabisch, M.: Fuzzy integral in multicriteria decision making. Fuzzy Sets Syst. 69, 279–298 (1995)
Grabisch, M.: The application of fuzzy integrals in multicriteria decision making. Eur. J. Oper. Res. 89, 445–456 (1996)
Xu, Z.S., Cai, X.Q.: Recent advances in intuitionistic fuzzy information aggregation. Fuzzy Optim. Decis. Mak. 9, 359–381 (2010)
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)
Sugeno, M., Terano, T.: A model of learning based on fuzzy information. Kybernetes 6, 157–166 (1977)
Fujimoto, K., Kojadinovic, I., Marichal, J.L.: Axiomatic characterizations of probabilistic and cardinal-probabilistic interaction indices. Games Econ. Behav. 55, 72–99 (2006)
Kojadinovic, I.: Modeling interaction phenomena using fuzzy measures: on the notions of interaction and independence. Fuzzy Sets Syst. 135, 317–340 (2003)
Li, S., Zhang, Q.: The measure of interaction among players in games with fuzzy coalitions. Fuzzy Sets Syst. 159, 119–137 (2008)
Marichal, J.L., Kojadinovic, I., Fujimoto, K.: Axiomatic characterizations of generalized values. Discret. Appl. Math. 155, 26–43 (2007)
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)
Labreuche, C., Grabisch, M.: The Choquet integral for the aggregation of interval scales in multicriteria decision making. Fuzzy Sets Syst. 137, 11–26 (2003)
Tan, C., Chen, X.: Intuitionistic fuzzy Choquet integral operator for multi-criteria decision making. Expert Syst. Appl. 37, 149–157 (2010)
Choquet, G.: Theory of capacities. Ann. l’institut Fourier 5, 131–295 (1953)
Bernardo, J.J., Blin, J.M.: A programming model of consumer choice among multi-attributed brands. J. Consum. Res. 4, 111–118 (1977)
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)
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)
Lin, C.J., Wen, U.P.: A labeling algorithm for the fuzzy assignment problem. Fuzzy Sets Syst. 142, 373–391 (2004)
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)
Jahan, A., Ismail, M.Y., Mustapha, F., Sapuan, S.M.: Material selection based on ordinal data. Mater. Des. 31, 3180–3187 (2010)
Bashiri, M., Badri, H.: A group decision making procedure for fuzzy interactive linear assignment programming. Expert Syst. Appl. 38, 5561–5568 (2011)
Bashiri, M., Badri, H., Hejazi, T.H.: Selecting optimum maintenance strategy by fuzzy interactive linear assignment method. Appl. Math. Model. 35, 152–164 (2011)
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)
Liu, H.W., Wang, G.J.: Multi-criteria decision-making methods based on intuitionistic fuzzy sets. Eur. J. Oper. Res. 179, 220–233 (2007)
Merigó, J.M., Gil-Lafuente, A.M.: The induced generalized OWA operator. Inf. Sci. 179, 729–741 (2009)
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)
Sugeno, M.: Theory of fuzzy integrals and applications. Diss., Tokyo Institute of Technology (1974)
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)
Herrera, F., Herrera-Viedma, E.: Linguistic decision analysis: steps for solving decision problems under linguistic information. Fuzzy Sets Syst. 115, 67–82 (2000)
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)
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
Ye, J.: Interval-valued hesitant fuzzy prioritized weighted aggregation operators for multiple attribute decision making. J. Algorithms Comput. Technol. 8(2), 179–192 (2014)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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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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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DOI: https://doi.org/10.1007/s40815-016-0177-x