Zhenhua Zhang
Cisco School of Informatics, Nanjing University of Science and Technology, China
Jie Chen
Cisco School of Informatics, Nanjing University of Science and Technology, China
Yong Hu
School of Management, Guangdong University of Foreign Studies, China
Jingyu Yang
School of Computer Science and Technology, Nanjing University of Science and Technology, China
Youpei Ye
School of Computer Science and Technology, Nanjing University of Science and Technology, China
Jianzhao Chen
Cisco School of Informatics, Nanjing University of Science and Technology, China
ABSTRACT
We present a novel Dynamic Fuzzy Sets (DFS) method, which is the generalization of Fuzzy Sets (FS) and the dynamization of Interval-Valued Intuitionistic Fuzzy Sets (IVIFS). First, we propose some weighted DFS models from IVIFS. Second, we introduce the corresponding ranking function of DFS. Finally, we apply the DFS models and their ranking functions to supplier selection to demonstrate the advantages of these DFS models and the experimental results show that these DFS models are more effective than some IVIFS models in supplier selection.
PDF References Citation
How to cite this article
Zhenhua Zhang, Jie Chen, Yong Hu, Jingyu Yang, Youpei Ye and Jianzhao Chen, 2013. A Dynamic Fuzzy Group Decision Making Method for Supplier Selection. Journal of Applied Sciences, 13: 2788-2794.
DOI: 10.3923/jas.2013.2788.2794
URL: https://scialert.net/abstract/?doi=jas.2013.2788.2794
DOI: 10.3923/jas.2013.2788.2794
URL: https://scialert.net/abstract/?doi=jas.2013.2788.2794
REFERENCES
- Atanassov, K. and G. Gargov, 1989. Interval valued intuitionistic fuzzy sets. Fuzzy Sets Syst., 31: 343-349.
CrossRefDirect Link - Chen, S.M. and J.M. Tan, 1994. Handling multicriteria fuzzy decision-making problems based on vague set theory. Fuzzy Set Syst., 67: 163-172.
CrossRefDirect Link - Hong, D.H. and C.H. Choi, 2000. Multicriteria fuzzy decision-making problems based on vague set theory. Fuzzy Sets Syst., 114: 103-113.
CrossRef - Xu, Z.S., 2010. A method based on distance measure for interval-valued intuitionistic fuzzy group decision making. Inform. Sci., 180: 181-190.
CrossRef - Li, D.F., 2010. TOPSIS-based nonlinear-programming methodology for multiattribute decision making with interval-valued intuitionistic fuzzy sets. IEEE Trans. Fuzzy Syst., 18: 299-311.
CrossRef - Wang, H., G. Qian and X. Feng, 2011. An intuitionistic fuzzy AHP based on synthesis of eigenvectors and its application. Inform. Technol. J., 10: 1850-1866.
CrossRefDirect Link - Feng, X., X. Qian and Q. Wu, 2012. A DS-AHP approach for Multi-attribute decision making problem with intuitionistic fuzzy information. Inform. Technol. J., 11: 1764-1769.
CrossRef - Xu, Z. and R.R. Yager, 2008. Dynamic intuitionistic fuzzy multi-attribute decision making. Int. J. Approximate Reasoning, 48: 246-262.
CrossRef - Wei, G.W., 2009. Some geometric aggregation functions and their application to dynamic multiple attribute decision making in the intuitionistic fuzzy setting. Int. J. Uncertainty Fuzziness Knowl. Based Syst., 17: 179-196.
CrossRefDirect Link - Su, Z.X., M.Y. Chen, G.P. Xia and L. Wang, 2011. An interactive method for dynamic intuitionistic fuzzy multi-attribute group decision making. Expert Syst. Appl., 38: 15286-15295.
CrossRef - Zhang, Z., J. Yang, Y. Ye, Y. Hu and Q. Zhang, 2012. Intuitionistic fuzzy sets with double parameters and its application to pattern recognition. Inform. Technol. J., 11: 313-318.
CrossRefDirect Link - Zhang, Z., M. Wang, Y. Hu, J. Yang, Y. Ye and Y. Li, 2013. A dynamic Interval-valued intuitionistic fuzzy sets applied to pattern recognition. Math. Problems Eng.
CrossRef - Kavita, S.P. Yadav and S. Kumar, 2009. A Multi-Criteria Interval-Valued Intuitionistic Fuzzy Group Decision Making for Supplier Selection with TOPSIS Method. In: Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, Sakai, H., M.K. Chakraborty, A. Ella Hassanien, D. Slezak and W. Zhu (Eds.). Springe, Berlin, Heidelberg, pp: 303-312.