Skip to main content

Dynamic Intuitionistic Fuzzy Multi-Attribute Decision Making

  • Chapter
Intuitionistic Fuzzy Information Aggregation


In the previous chapters, we have discussed the problems where all the intuitionstic fuzzy data are collected in the same time period or at the same stage. However, in many practical problems, such as multi-period investment decision making, medical diagnosis, personnel dynamic examination, and military system efficiency dynamic evaluation, the decision information is usually collected at different periods of time. Recently, Xu and Yager (2008) investigate aggregation techniques for dynamic intuitionistic fuzzy information, develop methods for weighting time series, and propose an approach to dynamic intuitionistic fuzzy multi-attribute decision making. They also extend the derived results to uncertain dynamic intuitionistic fuzzy environments.

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

Access this chapter

USD 16.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  • Sadiq R, Tesfamariam S. 2007. Probability density functions based weights for ordered weighted averaging (OWA) operators: an example of water quality indices. European Journal of Operational Research, 182: 1350–1368.

    Google Scholar 

  • Xu Z S, Yager R R. 2008. Dynamic intuitionistic fuzzy multiple attribute decision making. International Journal of Approximate Reasoning, 48: 246–262.

    Google Scholar 

  • Xu Z S. 2005a. An overview of methods for determining OWA weights. International Journal of Intelligent Systems, 20: 843–865.

    Google Scholar 

  • Xu Z S. 2007d. Binomial distribution based approach to deriving time series weights. The IEEE International Conference on Industrial Engineering and Engineering Management, December 2–5, Singapore: 154–158.

    Google Scholar 

  • Xu Z S. 2008c. On multi-period multi-attribute decision making. Knowledge-Based Systems, 21: 164–171.

    Google Scholar 

  • Xu Z S. 2011. Approaches to multi-stage multi-attribute group decision making. International Journal of Information Technology & Decision Making, 10: 121–146.

    Google Scholar 

  • Yager R R. 2008. Time series smoothing and OWA aggregation. IEEE Transactions on Fuzzy Systems, 16: 994–1007.

    Google Scholar 

Download references

Author information

Authors and Affiliations


Rights and permissions

Reprints and permissions

Copyright information

© 2012 Science Press Beijing and Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Xu, Z., Cai, X. (2012). Dynamic Intuitionistic Fuzzy Multi-Attribute Decision Making. In: Intuitionistic Fuzzy Information Aggregation. Springer, Berlin, Heidelberg.

Download citation

Publish with us

Policies and ethics