Skip to main content
Log in

Atanassov’s intuitionistic fuzzy Quasi-Choquet geometric operators and their applications to multicriteria decision making

  • Published:
Fuzzy Optimization and Decision Making Aims and scope Submit manuscript

Abstract

In this paper, by combining the Archimedean t-conorm and t-norm and Quasi-Choquet averaging operator, we develop an extended Atanassov’s intuitionistic fuzzy Quasi-Choquet geometric operator to aggregate input arguments that are Atanassov’s intuitionistic fuzzy values, where the inter-dependent or interactive characteristics among input arguments are taken into account. Some of the desirable properties and some special cases are investigated in detail. It is worth pointing out that most of the existing Atanassov’s intuitionistic fuzzy geometric aggregation operators are special cases of this proposed aggregation operator. Furthermore, a decision procedure based on the proposed aggregation operator is developed for solving the multicriteria decision making problem in which all decision information is represented by Atanassov’s intuitionistic fuzzy values. An illustrative example is given for demonstrating the applicability of the proposed decision procedure.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Atanassov, K. T. (1986). Intuitionistic fuzzy sets. Fuzzy Sets and Systems, 20, 87–96.

    Article  MATH  MathSciNet  Google Scholar 

  • Beliakov, G., Bustince, H., Goswami, D. P., Mukherjee, U. K., & Pal, N. R. (2011). On averaging operators for Atanassov’s intuitionistic fuzzy sets. Information Sciences, 181, 1116–1124.

    Article  MATH  MathSciNet  Google Scholar 

  • Burillo, P., & Bustince, H. (1995). Intuitionistic fuzzy relations, Part I. Mathware and Soft Computing, 2, 5–38.

    MATH  MathSciNet  Google Scholar 

  • Bustince, H., Fernandez, J., Kolesarova, A., & Mesiar, R. (2013). Generation of linear orders for intervals by means of aggregation functions. Fuzzy Sets and Systems, 220, 69–77.

    Article  MATH  MathSciNet  Google Scholar 

  • Chen, T. Y. (2011). Bivariate models of optimism and pessimism in multi-criteria decision-making based on intuitionistic fuzzy sets. Information Sciences, 181, 2139–2165.

    Article  MATH  MathSciNet  Google Scholar 

  • De, S. K., Biswas, R., & Roy, A. R. (2000). Some operations on intuitionistic fuzzy sets. Fuzzy sets and Systems, 114, 477–484.

    Article  MATH  MathSciNet  Google Scholar 

  • Dymova, L., & Sevastjanov, P. (2012). The operations on intuitionistic fuzzy values in the framework of Dempster–Shafer theory. Knowledge-Based Systems, 35, 132–143.

    Article  Google Scholar 

  • Grabisch, M., Marichal, J. L., Mesiar, R., & Pap, E. (2009). Aggregation Functions. Cambridge: Cambridge University Press.

    Book  MATH  Google Scholar 

  • Klement, E. P., Mesiar, R., & Pap, E. (2000). Triangular Norms. Dordrecht: Kluwer Academic Publishers.

    Book  MATH  Google Scholar 

  • MerigóJ, M., & Casanovas, M. (2010). The uncertain induced quasi-arithmetic OWA operator. International Journal of Intelligent Systems, 26, 1–24.

    Article  Google Scholar 

  • Pankowska, A., & Wygralak, M. (2006). General IF-sets with triangular norms and their applications to group decision making. Information Sciences, 76, 2713–2754.

    Article  MathSciNet  Google Scholar 

  • Sugeno, M. (1974). Theory of fuzzy integral and its application. Doctorial Dissertation, Tokyo Institute of Technology.

  • Tan, C. Q., & Chen, X. H. (2010). Intuitionistic fuzzy Choquet integral operator for multi-criteria decision making. Expert Systems with Applications, 37, 149–157.

    Article  Google Scholar 

  • Tan, C. Q. (2011). Generalized intuitionistic fuzzy geometric aggregation operator and its application to multi-criteria group decision making. Soft Computing, 15, 867–876.

    Article  MATH  Google Scholar 

  • Tan, C. Q., & Chen, X. H. (2010). Induced Choquet ordered averaging operator and its application to group decision making. International Journal of Intelligent Systems, 25, 59–82.

    Article  MATH  Google Scholar 

  • Tan, C. Q., Jiang, Z. Z., & Chen, X. H. (2013). Some issues on quasi-arithmetic intuitionistic fuzzy OWA operators. Applied Mathematics & Information Sciences, 7, 955–961.

    Article  MATH  MathSciNet  Google Scholar 

  • Wang, W. Z., & Liu, X. W. (2011). Intuitionistic fuzzy geometric aggregation operators based on Einstein operations. International Journal of Intelligent Systems, 26, 1049–1075.

    Article  Google Scholar 

  • Wang, J. Q., Nie, R. R., Zhang, H. Y., & Chen, X. H. (2013). Intuitionistic fuzzy multi-criteria decision-making method based on evidential reasoning. Applied Soft Computing, 13, 1823–1831.

    Article  Google Scholar 

  • Wang, J. Q., Han, Z. Q., & Zhang, H. Y. (2014). Multi-criteria group decision-making method based on intuitionistic interval fuzzy information. Group Decision and Negotiation, 23, 715–733.

    Article  Google Scholar 

  • Xia, M. M., Xu, Z. S., & Zhu, B. (2012). Some issues on intuitionistic fuzzy aggregation operators based on Archimedean t-conorm and t-norm. Knowledge-Based Systems, 31, 78–88.

    Article  Google Scholar 

  • Xu, Z. S. (2007). Intuitionistic fuzzy aggregation operators. IEEE Transactions on Fuzzy Systems, 15, 1179–1187.

  • Xu, Z. S., & Cai, X. Q. (2010). Recent advances in intuitionistic fuzzy information aggregation. Fuzzy Optimization and Decision Making, 9, 359–381.

    Article  MATH  MathSciNet  Google Scholar 

  • Xu, Z. S., & Yager, R. R. (2006). Some geometric aggregation operators based on intuitionistic fuzzy sets. International Journal of General Systems, 35, 417–433.

    Article  MATH  MathSciNet  Google Scholar 

  • Yager, R. R., & Alajlan, N. (2014). On characterizing features of OWA aggregation operators. Fuzzy Optimization and Decision Making, 13, 1–32.

    Article  MathSciNet  Google Scholar 

  • Yang, W., & Chen, Z. P. (2011). The quasi-arithmetic intuitionistic fuzzy OWA operators. Knowledge-Based Systems, 27, 219–233.

    Article  Google Scholar 

  • Zhang, X. M., & Xu, Z. S. (2012). A new method for ranking intuitionistic fuzzy values and its application in multi-attribute decision making. Fuzzy Optimization and Decision Making, 11, 135–146.

    Article  MATH  MathSciNet  Google Scholar 

Download references

Acknowledgments

This work is supported by the Funds for Creative Research Groups of China (No. 71221061), the state key program of NSFC (No. 71431006), the National Natural Science Foundation of China (Nos. 71271217, 71371190, 70801012 and 71001018), the Program for New Century Excellent Talents in University of China (No. NCET-12-0541) and the Fundamental Research Funds for the Central Universities (No. N130506001). Our gratitude is also extended to the Research Committee and the Department of Industrial and Systems Engineering of the Hong Kong Polytechnic University for support in this project (G-UB97).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Zhong-Zhong Jiang.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Tan, C., Jiang, ZZ., Chen, X. et al. Atanassov’s intuitionistic fuzzy Quasi-Choquet geometric operators and their applications to multicriteria decision making. Fuzzy Optim Decis Making 14, 139–172 (2015). https://doi.org/10.1007/s10700-014-9196-y

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10700-014-9196-y

Keywords

Navigation