Abstract
In order to reflect the interactions phenomena among attributes involved in decision making and simulate the mechanism of human’s fuzziness thinking, a group decision model is established, in which the evaluation values are represented by triangular intuitionistic fuzzy numbers. By virtue of fuzzy Einstein Choquet integral geometric operator, the values of each expert with respect to multi-attributes are aggregated into triangular intuitionistic fuzzy numbers, and some interesting properties of that are also studied. PROMETHEE II model is employed to obtain group opinion, and select the best alternative. The proposed method can take full advantage of interactions information contained in the original data and the subjective information of experts. Moreover, an illustrative example is employed to demonstrate the practicality and effectiveness of the proposed approach.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Beg, I., Rashid, T.: Multi-criteria trapezoidal valued intuitionistic fuzzy decision making with Choquet integral based TOPSIS. Opsearch 51(1), 98–129 (2014)
Chuu, S.J.: Evaluating the flexibility in a manufacturing system using fuzzy multi-attribute group decision-making with multi-granularity linguistic information. Int. J. Adv. Manuf. Technol. 32(3–4), 409–421 (2007)
Grabisch, M.: Fuzzy integral in multicriteria decision making. Fuzzy Sets Syst. 69(3), 279–298 (1995)
Grabisch, M., Sugeno, M., Murofushi, T.: Fuzzy measures and integrals: theory and applications. Springer-Verlag New York, Inc. (2000)
Ju, Y., Yang, S.: Approaches for multi-attribute group decision making based on intuitionistic trapezoid fuzzy linguistic power aggregation operators. J. Intell. Fuzzy Syst. 27(2), 987–1000 (2014)
Klement, E.P., Mesiar, R., Pap, E.: Triangular norms. Position paper I: basic analytical and algebraic properties. Fuzzy Sets Syst. 143(1), 5–26 (2004)
Li, D.F.: A ratio ranking method of triangular intuitionistic fuzzy numbers and its application to MADM problems. Comput. Math. Appl. 60(6), 1557–1570 (2010)
Liu, X., Ju, Y., Wang, A.: A multiple attribute group decision making method with its application to emergency alternative assessment. J. Converg. Inf. Technol. 7(2) (2012)
Meyer, P., Roubens, M.: On the use of the Choquet integral with fuzzy numbers in multiple criteria decision support. Fuzzy Sets Syst. 157(7), 927–938 (2006)
Mishra, S., Samantra, C., Datta, S., Mahapatra, S.S.: Multi-attribute group decision-making (MAGDM) for supplier selection using fuzzy linguistic modelling integrated with VIKOR method. Int. J. Serv. Oper. Manage. 12(1), 67–89 (2012)
Shu, M.H., Cheng, C.H., Chang, J.R.: Using intuitionistic fuzzy sets for fault-tree analysis on printed circuit board assembly. Microelectron. Reliab. 46(12), 2139–2148 (2006)
Tan, C.X., Chen, X.H.: Intuitionistic fuzzy Choquet integral operator for multi-criteria decision making. Expert Syst. Appl. 37(1), 149–157 (2010)
Vincke, J.P., Brans, P.: A preference ranking organization method. The PROMETHEE method for MCDM. Manage. Sci. 31(6), 647–656 (1985)
Wang, J.Q., Zhong, Z.: Aggregation operators on intuitionistic trapezoidal fuzzy number and its application to multi-criteria decision making problems. J. Syst. Eng. Electron. 20(2), 321–326 (2009)
Wan, S.P.: Power average operators of trapezoidal intuitionistic fuzzy numbers and application to multi-attribute group decision making. Appl. Math. Model. 37(6), 4112–4126 (2013)
Wang, Z.Y., Klir, G.J.: Fuzzy Measure Theory. Springer Science & Business Media, New York (1992)
Wei, G.W., Lin, R., Zhao, X.F., Wang, H.J.: An approach to multiple attribute decision making based on the induced Choquet integral with fuzzy number intuitionistic fuzzy information. J. Bus. Econ. Manage. 15(2), 277–298 (2014)
Wu, J., Liu, Y.: An approach for multiple attribute group decision making problems with interval-valued intuitionistic trapezoidal fuzzy numbers. Comput. Ind. Eng. 66(2), 311–324 (2013)
Xu, Y., Wang, H., Merig, J.M.: Intuitionistic fuzzy Einstein Choquet integral operators for multiple attribute decision making. Technol. Econ. Dev. Econ. 20(2), 227–253 (2014)
Yu, D.: Intuitionistic fuzzy Choquet aggregation operator based on Einstein operation laws. Sci. Iran. Trans. E Ind. Eng. 20(6), 2109 (2013)
Yue, X., Xia, G.K., Li, Y.: Multi-attribute group decision-making method based on triangular intuitionistic fuzzy number and 2-tuple linguistic information. J. Softw. 7(7), 1546–1553 (2012)
Zhang, S., Yu, D.: Some geometric Choquet aggregation operators using Einstein operations under intuitionistic fuzzy environment. J. Intell. Fuzzy Syst.: Appl. Eng. Technol. 26(1), 491–500 (2014)
Zhao, S.P., Liang, C.Y., Zhang, J.L.: Some intuitionistic trapezoidal fuzzy aggregation operators based on Einstein operations and their application in multiple attribute group decision making. Int. J. Mach. Learn. Cybern. (2015). doi:10.1007/s13042-015-0349-2
Acknowledgments
Thanks to the supported by the Natural Science Foundation of China (No. 61203283), Liaoning Provincial Natural Science Foundation of China (No. 2014025004) and the Fundamental Research Funds for the Central Universities (Nos. 3132014036, 3132014324), Scientific Research Project of Liaoning Provincial Education Department (No. L2015072).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this paper
Cite this paper
Li, L., Wang, L., Liao, B. (2016). Einstein Choquet Integral Operators for PROMETHEE II Group Decision Making Method with Triangular Intuitionistic Fuzzy Numbers. In: Cao, BY., Wang, PZ., Liu, ZL., Zhong, YB. (eds) International Conference on Oriental Thinking and Fuzzy Logic. Advances in Intelligent Systems and Computing, vol 443. Springer, Cham. https://doi.org/10.1007/978-3-319-30874-6_15
Download citation
DOI: https://doi.org/10.1007/978-3-319-30874-6_15
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-30873-9
Online ISBN: 978-3-319-30874-6
eBook Packages: EngineeringEngineering (R0)