Skip to main content
SpringerLink
Log in

A Multi-Attribute Group Decision Method Based on Triangular Intuitionistic Fuzzy Number

  • Conference paper
Information Computing and Applications (ICICA 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 244))

Included in the following conference series:

Abstract

This paper proposes a new method of multi-attribute group decision by using triangular intuitionistic fuzzy number (TIFN) to represent the experts’ evaluation information. At first, giving the TIFN definition and aggregation operator, such as triangular intuitionistic weighing arithmetic average (TI-WAA) operator and ordered weighted aggregation (TI-OWA)operator. Next, extending the TIFN ranking method by using the weighted average area, the model of multi-attribute group decision is constructed. Finally, a numerical example is given to illustrate application. The numberical results show that the proposed method is feasible and effective.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
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

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Atanassov, K.T.: Intuitionistic Fuzzy Sets. J. Fuzzy Sets and Systems 20, 87–96 (1986)

    Article  MathSciNet  MATH  Google Scholar 

  2. Li, D.F.: Multiattibute Decision Making Models and Methods using Intuitionistic Fuzzy Sets. J. Computer System Science 70, 73–85 (2005)

    Article  MATH  Google Scholar 

  3. Fan, C.Q.: Distance Between Fuzzy Number and Intuitionistic Fuzzy Sets. Journal of Liaoning Shihua University 2, 48–51 (2010)

    Google Scholar 

  4. Wang, J.Q.: Multi-criteria Interval-valued Intuitionistic Fuzzy Decision Making Approach with Incomplete Certain Information. Control and Decision 21, 1253–1256 (2006)

    MATH  Google Scholar 

  5. Xu, Z.S.: Methods for Aggregating Interval-valued Intuitionistic Fuzzy Information and their Application to Decision Making. Control and Decision 22, 215–219 (2007)

    Google Scholar 

  6. Wan, S.P.: Survey on intuitionistic fuzzy multi-attribute decision making approach. J. Control and Decision 11, 1601–1606 (2010)

    MathSciNet  Google Scholar 

  7. Shu, M.H., Cheng, C.H., Chang, J.R.: Using Intuitionistic Fuzzy Sets for Fault Tree Analysis on Printed Circuit Board Assembly. Microelectronics Reliability 46, 2139–2148 (2006)

    Article  Google Scholar 

  8. Wang, J.Q.: Overview on Fuzzy Multi-criteria Decision Making Approach. Control and Decision 23, 601–607 (2008)

    MathSciNet  MATH  Google Scholar 

  9. Liu, Y.X.: Multi-criteria Decision-making Based on Fuzzy Number Intuitionistic Fuzzy Sets Geometric Operators. J. Modern Electronics Technique 6, 140–144 (2009)

    Google Scholar 

  10. Chen, Q.M.: Application And Research In Intuitionistic Fuzzy Attribute Decision Making Based On General Induce Ordered Weighted Averaging(GIOWA) Operator. Journal of Anhui Vocational College of Metallurgy and Technology 3, 48–49 (2009)

    Google Scholar 

  11. Wang, J.Q., Zhang, Z.: Aggregation operators on intuitionistic trapezoidal fuzzy number and its application to multi-criteria decision making problems. Systems Engineering and Electronics 20, 321–326 (2009)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Institute of Mathematics and Information Technology, Hebei Normal University of Science and Technology, Qinhuangdao, 066004, Hebei Province, China

    Xiaoyun Yue, Yajun Guo & Guosheng Wang

  2. Office of Scientific Research, Hebei Normal University of Science and Technology, Qinhuangdao, 066004, Hebei Province, China

    Dewen Zou

Authors
  1. Xiaoyun Yue
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Dewen Zou
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Yajun Guo
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Guosheng Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. College of Sciences, Hebei United University, 063000, Tangshan, Hebei, China

    Chunfeng Liu

  2. College of Sciences, Hebei United University, Tangshan, 063000, Hebei, China

    Jincai Chang  & Aimin Yang  & 

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Yue, X., Zou, D., Guo, Y., Wang, G. (2011). A Multi-Attribute Group Decision Method Based on Triangular Intuitionistic Fuzzy Number. In: Liu, C., Chang, J., Yang, A. (eds) Information Computing and Applications. ICICA 2011. Communications in Computer and Information Science, vol 244. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27452-7_66

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-27452-7_66

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-27451-0

  • Online ISBN: 978-3-642-27452-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation