An Integrated Fuzzy DEMATEL-ANP-TOPSIS Methodology for Supplier Selection Problem

Akbar Alam-Tabriz, Neda Rajabani, Mojtaba Farrokh


In recent changing and dynamic environment because existing competition and need for cooperation among companies, supplier selection has become as a critical strategic factor for most company. The supplier selection is a complex multi-criteria problem containing both quantitative and qualitative criteria with complex relationships which may have trade-offs and interaction than each other. Read about these nuances in the works of mba essay writers who will prepare for you answers to the most common questions. In the paper, a novel hybrid multi-criteria decision making (MCDM) methodology is proposed to encompass the complex relationships and cope with the trade-offs among criteria. Given those ambiguous or uncertain criteria, it is essential that fuzzy approach is employed for handling the uncertainty and achieving more accurate results. The ANP method used for determining the appropriate weightings to each sub-criterion was developed to overcome the problems of dependence and feedback among criteria. For identifying relationship network among criteria, DEMATEL method is employed as a supportive tool for ANP. Then TOPSIS is used to rank all competing alternatives according their performance. In MCDM studies, applying TOPSIS in ranking alternatives has recently been customary because of its advantages in solving problems with trade-offs-including criteria. In the end, a numerical example is demonstrated to show the proposed model can improve solving of supplier selection problem.

Full Text:



Shyur, H.J., & Shih, H.S. (2006). A hybrid MCDM model for strategic supplier selection, Mathematical and Computer Modelling, 44 (8), 749–761.

Wadhwa, V. & Ravindran, A. R. (2007). Supplier selection in outsourcing. Computers and Operations Research, 34, 3725 – 3737.

Lin, Y. T., Lin, C. L., Yu, H. C., & Tzeng, G. H. (2010). A novel hybrid MCDM approach for outsourcing supplier selection: A case study for a semiconductor company in Taiwan. Expert Systems with Applications, 37, 4796–4804.

Ghodsypour, S.H., & O’Brien, C. (1998). A decision support system for supplier selection using an integrated analytic hierarchy process and linear programming. International Journal of Production Economics, 56–57, 199–212.

Tam, M .C.Y., & Tummala, V.M. R. (2001). An application of the AHP in supplier selection of a telecommunications system. Omega, 29, 171-182.

Wu WW, Lee YT (2007) Developing global managers’ competencies using the fuzzy DEMATEL method. Expert Systems with Applications 32(2):499–507

Carney DJ, Wallnau KC (1998) A basis for evaluation of commercial software. Information and Software Technology 40:851–860

De Boer L, Labro E, Morlacchi P (2001) A review of methods supporting supplier selection. European Journal of Purchasing and Supply Management 7 (2):75–89

Erol I, William G, Ferrell JrWG (2003) A methodology for selection problems with multiple, conflicting objectives and both qualitative and quantitative criteria. International Journal of Production Economics 86:87–199

Kumar M, Vrat P, Shankar R (2004) A fuzzy goal programming approach for supplier selection problem in a supply chain. Computers & Industrial Engineering 46:69–85

Shemshadi A, Shirazi H, Toreihi M, Tarokh MJ (2011) A fuzzy VIKOR method for supplier selection based on entropy measure for objective weighting. Expert Systems with Applications 38:12160–12167

Sanayei A, Mousavi SF, Yazdankhah A (2010) Group decision making process for supplier selection with VIKOR under fuzzy environment. Expert Systems with Applications 37:24–30

Yang, J. L., Chiu, H. N., & Tzeng, G. H. (2008). Supplier selection by integrated fuzzy MCDM techniques with independence and interdependence. Information Sciences, 178(21), 4166–4183.

Hwang, C. L., & Yoon, K. (1981). Multiple attribute decision making-methods and applications: A state of the art survey. Springer-Verlag.

Zadeh, L.A. (1965) Fuzzy sets. Information and Control 8 (3):338–353

Bellman, R. E., & Zadeh, L. A. (1970). Decision-making in a fuzzy environment management. Science, 17(4), 141–164.

Zadeh LA (1975) The concept of a linguistic variable and its application to approximate reasoning–I. Information Sciences 8 (3): 199–249

Karsak EE, Tolga E (2001) Fuzzy multi-criteria decision-making procedure for evaluating advanced manufacturing system investments. International Journal of Production Economics 69(1): 49–64

Tamura, H., & Akazawa, K. (2005). Structural modeling and systems analysis of uneasy factors for realizing safe, secure and reliable society. Journal of Telecommunication and Information Technology, 3, 64–72.

Saaty TL (1996) Decision making with dependence and feedback: The analytic network process. Pittsburgh: RWS Publications Publishers

Ertugrul, I., & Karakasoglu, N. (2009). Performance evaluation of Turkish cement firms with fuzzy analytic hierarchy process and TOPSIS methods. Expert Systems with Applications, 36, 702–715.

Amiri, M., Zandieh, M., Vahdani, B., Soltani, R., Roshanaei, V. (2010). An integrated eigenvector–DEA–TOPSIS methodology for portfolio risk evaluation in the FOREX spot market. Expert Systems with Applications, 37, 509–516.

Kabak M, Serhat B, Yigit K (2012) A fuzzy hybrid MCDM approach for professional selection. Expert Systems with Applications 39:3516–3525

Saaty T L (2001) Decision making with dependence and feedback: The analytic network process (2nd ed.). Pittsburgh, USA: RWS Publications.

Yuksel I, Dagdeviren M (2007) Using the analytic network process (ANP) in a SWOT analysis – A case study for a textile firm. Information Sciences 177(16): 3364–3382

Onut S, Kara SS, Isık E (2009) Long term supplier selection using a combined fuzzy MCDM approach: A case study for a telecommunication company. Expert Systems with Applications 36:3887–3895

Chen, C. T. (2000). Extensions of the TOPSIS for group decision-making under fuzzy environment. Fuzzy Sets and Systems, 114, 1–9.


  • There are currently no refbacks.

Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.

Copyright ©2013 Academic Journals Center

To make sure that you can receive messages from us, please add the '' domain to your e-mail 'safe list'. If you do not receive e-mail in your 'inbox', check your 'bulk mail' or 'junk mail' folders.