Abstract
With respect to intuitionistic linguistic information aggregation problems, we first define a new score function and a new accuracy function of intuitionistic linguistic number (ILN) and present a simple method for the comparison between two ILNs. Then, based on the intuitionistic linguistic weighted geometric averaging (ILWGA) operator, we propose two new intuitionistic linguistic geometric operators, such as the intuitionistic linguistic ordered weighted geometric (ILOWG) operator and intuitionistic linguistic hybrid geometric (ILHG) operator, and establish various properties of these operators. Furthermore, we apply the ILHG and ILWGA operators to solve multi-criteria group decision making problems, in which the criterion values take the form of ILNs and the criterion weight information is known completely. Finally, an illustrative example is given to demonstrate the feasibility and effectiveness of the developed approach.
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References
Zadeh, L.A.: The concept of a linguistic variable and its application to approximate reasoning. Part 1. Inf. Sci. 8(3), 199–249 (1975)
Herrera, F., Herrera-Viedma, E., Verdegay, J.L.: A model of consensus in group decision making under linguistic assessments. Fuzzy Sets Syst. 78(1), 73–87 (1996)
Herrera, F., Herrera-Viedma, E., Verdegay, J.L.: A rational consensus model in group decision making under linguistic assessments. Fuzzy Sets Syst. 88(1), 31–49 (1997)
Xu, Z.S., Da, Q.L.: An overview of operators for aggregating information. Int. J. Intell. Syst. 18(9), 953–969 (2003)
Herrera, F., Herrera-Viedma, E.: Aggregation operators for linguistic weighted information. IEEE Trans. Syst. Man Cybern. part A: Syst. Hum. 27(5), 646–656 (1997)
Xu, Z.S.: On generalized induced linguistic aggregation operators. Int. J. Gen. Syst. 35(1), 17–28 (2006)
Yang, W.E., Wang, J.Q.: Vague linguistic matrix game approach for multi-criteria decision making with uncertain weights. J. Intell. Fuzzy Syst. 25(2), 315–324 (2013)
Wei, G.W., Zhao, X.F.: Some dependent aggregation operators with 2-tuple linguistic information and their application to multiple attribute group decision making. Expert Syst. Appl. 39(5), 5881–5886 (2012)
Merigó, J.M., Casanovas, M., Martínez, L.: Linguistic aggregation operators for linguistic decision making based on the Dempster-Shafer theory of evidence. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 18(3), 287–304 (2010)
Wei, G.W.: Some generalized aggregating operators with linguistic information and their application to multiple attribute group decision making. Comput. Ind. Eng. 61(1), 32–38 (2011)
Merigó, J.M., Gil-Lafuente, A.M., Zhou, L.G.: Induced and linguistic generalized aggregation operators and their application in linguistic group decision making. Group Decis. Negot. 21(4), 531–549 (2012)
Wang, J.Q., Wu, J.T., Wang J., et al.: Interval-valued hesitant fuzzy linguistic sets and their applications in multi-criteria decision-making problems. Inf. Sci. 288, 55–72 (2014)
Yang, W.E., Wang, J.Q.: Multi-criteria semantic dominance: a linguistic decision aiding technique based on incomplete preference information. Eur. J. Oper. Res. 231(1), 171–181 (2013)
Herrera, F., Martínez, L.: A 2-Tuple Fuzzy Linguistic Representation Model for Computing with Words. IEEE Trans. Fuzzy Syst. 8(6), 746–752 (2000)
Xu, Z.S.: EOWA and EOWG operators for aggregating linguistic labels based on linguistic preference relations. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 12(6), 791–810 (2004)
Xu, Z.S.: A method based on linguistic aggregation operators for group decision making with linguistic preference relations. Inf. Sci. 166(1–4), 19–30 (2004)
Herrera, F., Herrera-Viedma, E., Verdegay, J.L.: Direct approach processes in group decision making using linguistic OWA operators. Fuzzy Sets Syst. 79(2), 175–190 (1996)
Xu, Z.S.: Uncertain Multiple Attribute Decision Making: Methods and Applications. Tsinghua University Press, Beijing (2004)
Wang, J.Q., Lu, P., Zhang, H.Y., et al.: Method of multi-criteria group decision-making based on cloud aggregation operators with linguistic information. Inf. Sci. 274, 177–191 (2014)
Wei, G.W.: A method for multiple attribute group decision making based on the ET-WG and ET-OWG operators with 2-tuple linguistic information. Expert Syst. Appl. 37(12), 7895–7900 (2010)
Wei, G.W.: Some harmonic aggregation operators with 2-tuple linguistic assessment information and their application to multiple attribute group decision making. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 19(6), 977–998 (2011)
Wang, J.Q., Wang, D.D., Zhang, H.Y., et al.: Multi-criteria group decision making method based on interval 2-tuple linguistic information and Choquet integral aggregation operators. Soft. Comput. 19(2), 389–405 (2015)
Atanassov, K.T.: Intuitionistic fuzzy sets. Fuzzy Sets Syst. 20(1), 87–96 (1986)
Zadeh, L.A.: Fuzzy sets. Inf. Control 8(3), 338–356 (1965)
Gau, W.L., Buehrer, D.J.: Vague sets. IEEE Trans. Syst. Man Cybern. 23(2), 610–614 (1993)
Bustince, H., Burillo, P.: Vague sets are intuitionistic fuzzy sets. Fuzzy Sets Syst. 79(3), 403–405 (1996)
Xu, Z.S., Cai, X.Q.: Recent advances in intuitionistic fuzzy information aggregation. Fuzzy Optim. Decis. Mak. 9(4), 359–381 (2010)
Atanassov, K.T.: Intuitionistic Fuzzy Sets: Thoery and Applications. Physica, Heidelberg (1999)
Bustince, H., Herrera, F., Montero, J.: Fuzzy Sets and Their Extensions: Representation, Aggregation and Models. Physica, Heidelberg (2007)
Xu, Z.S., Cai, X.Q.: Intuitionistic Fuzzy Information Aggregation: Theory and Applications. Springer, New York (2012)
Xu, Z.S., Yager, R.R.: Some geometric aggregation operators based on intuitionistic fuzzy sets. Int. J. Gen Syst. 35(4), 417–433 (2006)
Hong, D.H., Choi, C.H.: Multicriteria fuzzy decision-making problems based on vague set theory. Fuzzy Sets Syst. 114, 103–113 (2000)
Xu, Z.S.: Intuitionistic fuzzy aggregation operators. IEEE Trans. Fuzzy Syst. 15(6), 1179–1187 (2007)
Wang, J.Q., Zhang, H.Y.: Multicriteria decision-making approach based on atanassov’s intuitionistic fuzzy sets with incomplete certain information on weights. IEEE Trans. Fuzzy Syst. 21(3), 510–515 (2013)
Tan, C.Q.: Generalized intuitionistic fuzzy geometric aggregation operator and its application to multi-criteria group decision making. Soft. Comput. 15(5), 867–876 (2011)
Grzegorzewski, P.: Distances between intuitionistic fuzzy sets and/or interval-valued fuzzy sets based on the Hausdorff metric. Fuzzy Sets Syst. 148(2), 319–328 (2004)
Xu, Z.S., Chen, J.: An overview of distance and similarity measures of intuitionistic fuzzy sets. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 16(4), 529–555 (2008)
Xu, Z.S., Chen, J., Wu, J.J.: Clustering algorithm for intuitionistic fuzzy sets. Inf. Sci. 178(19), 3775–3790 (2008)
Yue, Z.L., Jia, Y.Y., Ye, G.D.: An approach for multiple attribute group decision making based on intuitionistic fuzzy information. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 17(3), 317–332 (2009)
Szmidt, E., Kacprzyk, J.: Distances between intuitionistic fuzzy sets. Fuzzy Sets Syst. 114(3), 505–518 (2000)
Vlachos, I.K., Sergiadis, G.D.: Intuitionistic fuzzy information—Applications to pattern recognition. Pattern Recogn. Lett. 28(2), 197–206 (2007)
Zhao, H., Xu, Z.S., Ni, M.F., et al.: Generalized aggregation operators for intuitionistic fuzzy sets. Int. J. Intell. Syst. 25(1), 1–30 (2010)
Xia, M.M., Xu, Z.S.: Generalized point operators for aggregating intuitionistic fuzzy information. Int. J. Intell. Syst. 25(11), 1061–1080 (2010)
Tan, C.Q., Chen, X.H.: Induced intuitionistic fuzzy Choquet integral operator for multi-criteria decision making. Int. J. Intell. Syst. 26(7), 659–686 (2011)
Tan, C.Q., Jiang, Z.Z., Chen, X.H.: Some issues on quasi-arithmetic intuitionistic fuzzy OWA operators. Appl. Math. Inf. Sci. 7(3), 955–961 (2013)
Wang, J.Q., Han, Z.Q., Zhang, H.Y.: Multi-criteria group decision-making method based on intuitionistic interval fuzzy information. Group Decis. Negot. 23, 715–733 (2014)
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)
Wang, J.Q., Zhang, 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)
Wang, J.Q., Li, H.B.: Multi-criteria decision-making method based on aggregation operators for intuitionistic linguistic fuzzy numbers. Control Decis. 25(10), 1571–1584 (2010)
Wang, J.Q., Nie, R.R., Zhang, H.Y., et al.: New operators on triangular intuitionistic fuzzy numbers and their applications in system fault analysis. Inf. Sci. 251, 79–95 (2013)
Wu, J., Cao, Q.W.: Same families of geometric aggregation operators with intuitionistic trapezoidal fuzzy numbers. Appl. Math. Model. 37(1–2), 318–327 (2013)
Wan, S.P., Dong, J.Y.: Method of intuitionistic trapezoidal fuzzy number for multi-attribute group decision. Control Decis. 25(5), 773–776 (2010)
Liu, P.D.: Some generalized dependent aggregation operators with intuitionistic linguistic numbers and their application to group decision making. J. Comput. Syst. Sci. 79(1), 131–143 (2013)
Wang, X.F., Wang, J.Q., Yang, W.E.: Multi-criteria group decision making method based on intuitionistic linguistic aggregation operators. J. Intell. Fuzzy Syst. 26(1), 115–125 (2014)
Wang, J.Q., Wang, P., Wang, J., et al.: Atanassov’s interval-valued intuitionistic linguistic multi-criteria group decision-making method based on trapezium cloud model. IEEE Trans. Fuzzy Syst. (2014). doi:10.1109/TFUZZ.2014.2317500
Xu, Z.S.: Group decision making based on multiple types of linguistic preference relations. Inf. Sci. 178(2), 452–467 (2008)
Xu, Z.S.: An overview of methods for determining OWA weights. Int. J. Intell. Syst. 20(8), 843–865 (2005)
Acknowledgments
This work was supported by the National Natural Science Foundation of China (No. 71271218, 71221061 and 61174075), the Humanities and Social Science Foundation of the Ministry of Education of China (No. 12YJA630114 and 13YJC630200), and the Natural Science Foundation of Hunan Province of China (No. 2015JJ2047). The authors are very grateful to the editors and the anonymous reviewers for their constructive comments and suggestions that have led to an improved version of this paper.
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Wang, X., Wang, J. & Deng, S. Some Geometric Operators for Aggregating Intuitionistic Linguistic Information. Int. J. Fuzzy Syst. 17, 268–278 (2015). https://doi.org/10.1007/s40815-015-0007-6
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DOI: https://doi.org/10.1007/s40815-015-0007-6