Skip to main content

Multiple Attribute Group Decision Making Under Hesitant Fuzzy Environment

  • Conference paper
  • First Online:
  • 1111 Accesses

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 218))

Abstract

Hesitant fuzzy set is a very useful means to depict the decision information in the process of decision making. In this paper, motivated by the extension principle of hesitant fuzzy sets, we export Einstein operations on fuzzy sets to hesitant fuzzy sets, and develop some new arithmetic averaging aggregation operators, such as the hesitant fuzzy Einstein weighted averaging (\(\mathrm{{HFW}}{\mathrm{{A}}^\varepsilon }\)) operator, hesitant fuzzy Einstein ordered weighted averaging (\(\mathrm{{HFOW}}{\mathrm{{A}}^\varepsilon }\)) operator, and hesitant fuzzy Einstein hybrid weighted averaging (\(\mathrm{{HFHW}}{\mathrm{{A}}^\varepsilon }\)) operator, for aggregating hesitant fuzzy elements. Finally, we apply the proposed operators to multiple attribute group decision making with hesitant fuzzy information.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. Yager, R.R., Kacprzyk, J.: The Ordered Weighted Averaging Operator: Theory and Applications. Kluwer, Boston (1997)

    Book  Google Scholar 

  2. Calvo, T., Mayor, G., Mesiar, R.: Aggregation Operators: New Trends and Applications. Physica-Verlag, Heidelberg (2002)

    Book  Google Scholar 

  3. Xu, Z.S., Da, Q.L.: An overview of operators for aggregating information. Int. J. Intell. Syst. 18(9), 953–969 (2003)

    Article  Google Scholar 

  4. Torra, V., Narukawa, Y.: Modeling Decisions: Information Fusion and Aggregation Operators. Springer, Berlin (2007)

    Google Scholar 

  5. Harsanyi, J.C.: Cardinal welfare, individualistic ethics, and interpersonal comparisons of utility. J. Polit. Econ. 63(4), 309–321 (1955)

    Article  Google Scholar 

  6. Yager, R.R.: On ordered weighted averaging aggregation operators in multicriteria decision-making. IEEE Trans. Syst. Man Cybern. Cybern. 18(1), 183–190 (1988)

    Article  Google Scholar 

  7. Torra, V.: The weighted OWA operator. Int. J. Intell. Syst. 12(2), 153–166 (1997)

    Article  Google Scholar 

  8. Zadeh, L.A.: Fuzzy sets. Inf. Control 8(3), 338–353 (1965)

    Article  Google Scholar 

  9. Atanassov, K.T.: Intuitionistic fuzzy sets. Fuzzy Sets Syst. 20(1), 87–96 (1986)

    Article  Google Scholar 

  10. Zadeh, L.A.: Outline of a new approach to analysis of complex systems and decision processes interval-valued fuzzy sets. IEEE Trans. Syst. Man Cybern. SMC 3(1), 28–44 (1973)

    Article  Google Scholar 

  11. Mizumoto, M., Tanaka, K.: Some properties of fuzzy sets of type 2. Inf. Control 31(4), 312–340 (1976)

    Article  Google Scholar 

  12. Dubois, D., Prade, H.M.: Fuzzy Sets and Systems: Theory and Applications. Academic Press, New York (1980)

    Google Scholar 

  13. Yager, R.R.: On the theory of bags. Int. J. Gen. Syst. 13(1), 23–37 (1986)

    Article  Google Scholar 

  14. Chakrabarty, K., Despi, I.: \(n^k\)-bags. Int. J. Intell. Syst. 22(2), 223–236 (2007)

    Article  Google Scholar 

  15. Torra, V.: Hesitant fuzzy sets. Int. J. Intell. Syst. 25(6), 529–539 (2010)

    Google Scholar 

  16. Atanassov, K., Gargov, G.: Interval valued intuitionistic fuzzy sets. Fuzzy Sets Syst. 31(3), 343–349 (1989)

    Article  Google Scholar 

  17. Cornelis, C., Deschrijver, G., Kerre, E.E.: Implication in intuitionistic fuzzy and interval-valued fuzzy set theory: construction, classification, application. Int. J. Approx. Reason. 35(1), 55–95 (2004)

    Article  Google Scholar 

  18. Dubois, D., Gottwald, S., Hajek, P., Kacprzyk, J., Prade, H.: Terminological difficulties in fuzzy set theory - the case of “intuitionistic fuzzy sets”. Fuzzy Sets Syst. 156(3), 485–491 (2005)

    Article  Google Scholar 

  19. Xia, M., Xu, Z.S.: Hesitant fuzzy information aggregation in decision making. Int. J. Approx. Reason. 52(3), 395–407 (2011)

    Article  Google Scholar 

  20. Torra, V., Narukawa, Y.: On hesitant fuzzy sets and decision. In: IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2009, pp. 1378–1382 (2009)

    Google Scholar 

  21. Xu, Z.S.: Hesitant Fuzzy Sets Theory. Springer International Publishing, Heidelberg (2014)

    Book  Google Scholar 

  22. Xu, Z.S.: Intuitionistic fuzzy aggregation operators. IEEE Trans. Fuzzy Syst. 15(6), 1179–1187 (2007)

    Article  Google Scholar 

  23. Xu, Z.S., Yager, R.R.: Some geometric aggregation operators based on intuitionistic fuzzy sets. Int. J. Gen. Syst. 35(4), 417–433 (2006)

    Article  Google Scholar 

  24. Zhao, H., Xu, Z.S., Ni, M., Liu, S.: Generalized aggregation operators for intuitionistic fuzzy sets. Int. J. Intell. Syst. 25(1), 1–30 (2010)

    Article  Google Scholar 

  25. Schweizer, B., Sklar, A.: Probabilistic Metric Spaces. North Holland, New York (1983)

    Google Scholar 

  26. H\(\acute{a}\)jek, P.: Metamathematics of Fuzzy Logic. Kluwer Academic Publishers, Dordrecht (1998)

    Google Scholar 

Download references

Acknowledgements

This work is supported by Natural Science Foundation of Guangxi Province (2014jjAA10065), Scientific Research Foundation of Higher Education of Guangxi Province (KY2015YB050) and the 2014 Doctoral Scientific Research Foundation of Guangxi Normal University.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Weize Wang .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

Cite this paper

Wang , W., Lu, QA., Yang, L. (2015). Multiple Attribute Group Decision Making Under Hesitant Fuzzy Environment. In: Kamiński, B., Kersten, G., Szapiro, T. (eds) Outlooks and Insights on Group Decision and Negotiation. GDN 2015. Lecture Notes in Business Information Processing, vol 218. Springer, Cham. https://doi.org/10.1007/978-3-319-19515-5_14

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-19515-5_14

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-19514-8

  • Online ISBN: 978-3-319-19515-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics