Skip to main content

New Method for the Problem of Fuzzy Group Decision Making

  • Conference paper
  • 1307 Accesses

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 2))

Abstract

This paper studies the problems of fuzzy multi-attribute group decision making. First of all, it gives a new method for ranking trapezoidal fuzzy numbers based on the credibility distribution, then it presents the TOWA operator to aggregate the trapezoidal fuzzy numbers. Furthermore, a new model is presented for the problems of fuzzy multi-attribute group decision making via TOWA operator and grey relative degree. Finally, a decision making example is given to demonstrate the feasibility and rationality of this new model.

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   169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   219.99
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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Hwang, C., Lin, M.: Group Decision Making Under Multiple Criteria: Methods and Applications. Springer, Heidelberg (1987)

    MATH  Google Scholar 

  2. Xu, Z.: Uncertain Multiple Attribute Decision Making: Methods and Applications. Springer, Heidelberg (1999)

    Google Scholar 

  3. Wang, J., Ren, J.: Approach to Group Decision-making with Different Forms of Preference Information. Systems Engineering and Electronics 12, 2057–2059 (2005)

    Google Scholar 

  4. Herrera, F., Herrera-Viedma, E., Verdegay, J.: A model of Consensus in Group Decision Making under Linguistic Assessments. Fuzzy Sets and Systems 1, 73–87 (1996)

    Article  Google Scholar 

  5. Bordogna, G., Fedrizzi, M., Pasi, G.: A Linguistic Modelling of Consensus in Group Decision Making based on OWA Operators. IEEE Trans on Systems, Man, and Cybernetics 1, 126–132 (1997)

    Google Scholar 

  6. Herrera, F., Martnez, L.: A Fusion Method for Managing Multi-granularity Linguistic Terms Sets in Decision Making. Fuzzy Sets and Systems 1, 43–58 (2000)

    Article  Google Scholar 

  7. Fan, Z., Xiao, S., Hu, G.: An Optimization Method for Integrating Two Kinds of Preference Information in Group Decision Making. Computer and Industrial Engineering 1, 329–335 (2004)

    Article  Google Scholar 

  8. Herrera, F., Martinez, L.: A Model Based on Linguistic Two-tuples for Dealing with Multigranualrity Hierarchical Linguistic Contexts in Multiexpert Decision-making. IEEE Trans on Systems, Man, and Cybernetics 2, 227–233 (2001)

    Google Scholar 

  9. Cordn, O.: Linguistic Modeling by Hierarchical Systems of Linguistic Rules. IEEE Trans on Fuzzy Systems 1, 1–19 (2002)

    Google Scholar 

  10. Peng, J., Mok, M., Tse, W-M.: Fuzzy Dominance Based on Credibility Distributions. LNCS (LNAI), vol. 2618, pp. 295–303 (2005)

    Google Scholar 

  11. Li, R.: The Foundation and Application of Fuzzy Multiple Attribute Decision Making. Science Press (2002)

    Google Scholar 

  12. Xu, Z.: Method Based on Fuzzy Linguistic Assessments and GIOWA Operator In multi-attribute Group Decision-making. Journal of System Science and Mathematics 2, 218–224 (2004)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

De-Shuang Huang Laurent Heutte Marco Loog

Rights and permissions

Reprints and permissions

Copyright information

© 2007 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Rao, C., Wang, C., Peng, J. (2007). New Method for the Problem of Fuzzy Group Decision Making. In: Huang, DS., Heutte, L., Loog, M. (eds) Advanced Intelligent Computing Theories and Applications. With Aspects of Contemporary Intelligent Computing Techniques. ICIC 2007. Communications in Computer and Information Science, vol 2. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74282-1_36

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-74282-1_36

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-74281-4

  • Online ISBN: 978-3-540-74282-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics