An approach based on ANFIS input selection and modeling for supplier selection problem

Expert Systems with Applications

Volumn 38, Issue 12, 2011, Pages 14907-14917

  Güneri, Ali Fuat ^a   Ertay, Tijen ^b   Yücel, Atakan ^a  

^a YILDIZ TECHNICAL UNIVERSITY   (Turkey)

^b ISTANBUL TECHNICAL UNIVERSITY   (Turkey)

Author keywords

ANFIS; Input selection; Multiple criteria analysis; Supplier selection

Indexed keywords

ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM; ANFIS; ANFIS METHOD; INPUT SELECTION; INPUT SELECTION METHOD; MULTI-CRITERIA; MULTIPLE CRITERIA ANALYSIS; MULTIPLE REGRESSIONS; SUPPLIER SELECTION;

FUZZY INFERENCE; SUPPLY CHAINS;

FUZZY SYSTEMS;

EID: 80052031944     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2011.05.056     Document Type: Article

References (44)

1. A. Amid, S.H. Ghodsypour, and C. OBrien Fuzzy multi-objective linear model for supplier selection in a supply chain International Journal of Production Economics 104 2006 394 407
2. C. Araz, P.M. Ozfirat, and I. Ozkarahan An integrated multicriteria decision-making methodology for outsourcing management Computers & Operations Research 34 2007 3738 3756
3. G.S. Atsalakis, and K.P. Valavanis Forecasting stock market short-term trends using a neuro-fuzzy based methodology Expert Systems with Applications 36 2009 10696 10707
4. T. Ayata, E. am, and O. Yildiz Adaptive neuro-fuzzy inference systems (ANFIS) application to investigate potential use of natural ventilation in new building designs in Turkey Energy Conversion and Management 48 2007 1472 1479
5. H.M.D. Azamathulla, C.K. Chang, A.A.B. Ghani, J. Ariffin, N.A. Zakaria, and Z.A. Hasan An ANFIS-based approach for predicting the bed load for moderately sized rivers Journal of Hydro-environment Research 3 2009 35 44
6. A. Baylar, D. Hanbay, and E. Özpolat An expert system for predicting aeration performance of weirs by using ANFIS Expert Systems with Applications 35 2008 1214 1222
7. M. Bevilacqua, F.E. Ciarapica, and G. Giacchetta A fuzzy-QFD approach to supplier selection Journal of Purchasing & Supply Management 12 2006 14 27
8. D.A. Carrera, and R.V. Mayorga Supply chain management: a modular fuzzy inference system approach in supplier selection for new product development Journal of Intelligent Manufacturing 19 2008 1 12
9. F.T.S. Chan, and N. Kumar Global supplier development considering risk factors using fuzzy extended AHP-based approach Omega 35 2007 417 431
10. C.T. Chen Extensions of the TOPSIS for group decision-making under fuzzy environment Fuzzy Sets and Systems 114 2000 1 9
11. T.C. Chen, C.T. Lin, and S.F. Huang A fuzzy approach for supplier evaluation and selection in supply chain management International Journal of Production Economics 102 2006 289 301
12. U. ayda, A. Hasalik, and S. Ekici An adaptive neuro-fuzzy inference system (ANFIS) model for wire-EDM Expert Systems with Applications 36 2009 6135 6139
13. L. De Boer, E. Labro, and P. Morlacchi A review of methods supporting supplier selection European Journal of Purchasing & Supply Management 7 2001 75 89
14. G.W. Dickson An analysis of vendor selection systems and decisions Journal of Purchasing 2 1966 5 17
15. T. Ertay, and B. ekyay Integrated clustering modeling with backpropagation neural network for efficient customer relationship management Book series studies in computational intelligence 2005 Springer Berlin/Heidelberg
16. O. Famuyiwa, L. Monplaisir, and B. Nepal An integrated fuzzy-goal-programming-based framework for selecting suppliers in strategic alliance formation International Journal of Production Economics 113 2008 862 875
17. S.H. Ghodsypour, and C. O'Brien A decision support system for supplier selection using an integrated analytic hierarchy process and linear programming International Journal of Production Economics 56-57 1998 199 212
18. A.N. Haq, and G. Kannan Design of an integrated supplier selection and multi-echelon distribution inventory model in a built-to-order supply chain environment International Journal of Production Research 44 2006 1963 1985
19. M.L. Huang, H.Y. Chen, and J.J. Huang Glaucoma detection using adaptive neuro-fuzzy inference system Expert Systems with Applications 32 2007 458 468
20. J.S. Jang ANFIS: Adaptive-network-based fuzzy inference system IEEE Transactions on Systems Man and Cybernetics 23 1993 665 685
21. Jang, J. S. (1996). Input selection for ANFIS learning. In Proceedings of the fifth IEEE international conference on fuzzy systems (Vol. 2, pp. 1493-1499).
22. J.S. Jang, C.T. Sun, and E. Mizutani Neuro-fuzzy and soft computing: A computational approach to learning and machine intelligence 1997 Matlab Curriculum Series Prentice Hall New Jersey
23. N. Kannathal, C.M. Lim, U.R. Acharya, and P.K. Sadasivan Cardiac state diagnosis using adaptive neuro-fuzzy technique Medical Engineering & Physics 28 2006 809 815
24. C.K. Kwong, W.H. Ip, and J.W.K. Chan Combining scoring method and fuzzy expert systems approach to supplier assessment: A case study Integrated Manufacturing Systems 13 2002 512 519
25. A.H.I. Lee A fuzzy supplier selection model with the consideration of benefits, opportunities, costs and risks Expert Systems with Applications 36 2009 2879 2893
26. K. Lee, D. Booth, and P. Alam A comparison of supervised and unsupervised neural networks in predicting bankruptcy of Korean firms Expert Systems with Applications 29 1 2005 1 16
27. T.-L. Lee Back-propagation neural network for the prediction of the short-term storm surge in Taichung harbor, Taiwan Engineering Applications of Artificial Intelligence 21 2008 63 72
28. S.-W. Lin, T.-Y. Tseng, S.-Y. Chou, and S.-C. Chen A simulated-annealing- based approach for simultaneous parameter optimization and feature selection of back-propagation networks Expert Systems with Applications 34 2008 1491 1499
29. F.-H.F. Liu, and H.L. Hai The voting analytic hierarchy process method for selecting supplier International Journal of Production Economics 97 2005 308 317
30. R. Malhotra, and D.K. Malhotra Differentiating between good credits and bad credits using neuro-fuzzy systems European Journal of Operational Research 136 2002 190 211
31. H. Moradkhani, K. Hsu, H.V. Gupta, and S. Sorooshian Improved streamflow forecasting using self-organizing radial basis function artificial neural networks Journal of Hydrology 295 1-4 2004 246 262
32. G. Nassimbeni, and F. Battain Evaluation of supplier contribution to product development: Fuzzy and neuro-fuzzy based approaches International Journal of Production Research 1 2003 2933 2956
33. R. Ohdar, and P.K. Ray Performance measurement and evaluation of suppliers in supply chain: An evolutionary fuzzy-based approach Journal of Manufacturing Technology Management 15 2004 723 734
34. K. Polat, and S. Güne An expert system approach based on principal component analysis and adaptive neuro-fuzzy inference system to diagnosis of diabetes disease Digital Signal Processing 17 2007 702 710
35. T.S. Quah DJIA stock selection assisted by neural network Expert Systems with Applications 35 2008 50 58
36. J. Su, C.L. Dyer, and V.B. Gargeya Strategic sourcing and supplier selection in the US textile apparel retail supply network Clothing & Textiles Research Journal 27 2009 83 97
37. T. Takagi, and M. Sugeno Derivation of fuzzy control rules from human operator's control actions IFAC symposium fuzzy information knowledge representation and decision analysis 1983 55 60
38. S.G. Teng, and H. Jaramillo A model for evaluation and selection of suppliers in global textile and apparel supply chains International Journal of Physical Distribution & Logistics Management 35 2005 503 523
39. T. Tchaban, J.P. Griffin, and M.J. Taylor A comparison between single and combined backpropagation neural networks in the prediction of turnover Engineering Applications of Artificial Intelligence 11 1998 41 47
40. Y.M. Wang, and T.M.S. Elhag An adaptive neuro-fuzzy inference system for bridge risk assessment Expert Systems with Applications 34 2008 3099 3106
41. C.A. Weber, J.R. Current, and W.C. Benton Vendor selection criteria and methods European Journal of Operational Research 50 1991 2 18
42. W. Xia, and Z. Wu Supplier selection with multiple criteria in volume discount environments Omega 35 2007 494 504
43. S. Yahya, and B. Kingsman Vendor rating for an entrepreneur development programme: A case study using the analytic hierarchy process method Journal of Operational Research Society 50 1999 916 930
44. Q. Yuan, C.Y. Dong, and Q. Wang An adaptive fusion algorithm based on ANFIS for radar/infrared system Expert Systems with Applications 36 2009 111 120