Advertisement

A New Method of Multiple Attributes Evaluation and Selection in Fuzzy Environment

  • Xiao-yan Zhai
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 367)

Abstract

In a complex evaluation system, not only it is often necessary to deal with multiple attributes decision problems, but also it is unavoidable to deal with the uncertainness and fuzziness of people’s judgment. This paper considers the multiple attributes and uncertainness decision problems in the complex decision systems, a fuzzy multiple attributes evaluation and selection model is built, a new method is developed for ranking fuzzy priorities from the model, and calculation formulae for fuzzy priorities are derived. Finally, an applied example on suppliers’ selection is given for demonstrating the method.

Keywords

Fuzzy multiple criteria decision Evaluation and selection model Fuzzy priority 

Notes

Acknowledgments

Thanks to the support by Quality Engineering Project of South China Business College, Guangdong University of Foreign Studies (No. 2015JD01 and No. 2015JG20), Training Plan Project of College Students’ Entrepreneurship and Innovation in Guangdong (No. 20142620014) and Airport Economic Synergy Innovation Center Project Founation of South China Business College, Guangdong University of Foreign Studies.

References

  1. 1.
    Jahanshahloo, G.R., Hosseinzadeh, F., Lotfi, M.: Izadikhah: extension of the TOPSIS method for decision-making problems with fuzzy data. Appl. Math. Comput. 181, 1544–1551 (2006)CrossRefMATHGoogle Scholar
  2. 2.
    Wang, Y., Parkan, C.: Multiple attribute decision making based on fuzzy preference information on alternatives: ranking and weighting. Fuzzy Sets Syst. 153, 331–346 (2005)Google Scholar
  3. 3.
    Zhai, X.: A weighting multicriteria group decision-making model in fuzzy environment, 2nd WRI global congress on intelligent systems. GCIS 2010 1, 187–190 (2010)Google Scholar
  4. 4.
    Zhai, X., Xu, R.: A multiple criteria decision method based on uncertain judgment. Sixth International Conference on Fuzzy Systems and Knowledge Discovery (2009)Google Scholar
  5. 5.
    Zhai, X.: The aggregation methods of the interval number judgment matrixes and the calculation of the weights in the group decision-making. Syst. Eng. 23(9), 103–107 (2005)Google Scholar
  6. 6.
    Zhai, X., Zhang, X., Xiao, A.: A new fuzzy multiple attributive decision making method dynamics of continuous. Discrete Impulsive Syst. 13(Series A), 1429–1432 (2007)Google Scholar
  7. 7.
    Zhai, X., Zhang, X.: A ranking and aggregating method of fuzzy judgment matrix and its application in the water quality plan dynamics of continuous. Discrete Impulsive Syst. 13, 1177–1181 (2006)Google Scholar
  8. 8.
    Zhai, X., Zhang, X.: A fuzzy group decision method based on uncertain judgments dynamics of continuous. Discrete Impulsive Syst. 13, 1789–1796 (2006)MathSciNetGoogle Scholar
  9. 9.
    Saaty, T.L.: The analytical hierarchy process, 3rd edn. RWS Publications, Pittsburgh (2005)Google Scholar
  10. 10.
    Xu, R., Zhai, X.: Extension of the analytic hierarchy process in fuzzy environment. Fuzzy Sets Syst. 3, 251–257 (1992)Google Scholar
  11. 11.
    Luo, C.: Extension principle and fuzzy number. Fuzzy Math. 4(3), 109–116 (1984)Google Scholar
  12. 12.
    Wang, L.F.: Computing method of priorities in AHP. Syst. Eng. Theor. Pract. 2, 31–37 (1987)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.South China Business College, Guangdong University of Foreign StudiesGuangzhouChina

Personalised recommendations