The Fuzzy ART algorithm: A categorization method for supplier evaluation and selection

Expert Systems with Applications

Volumn 37, Issue 2, 2010, Pages 1235-1240

  Aydin Keskin, Gülşen ^a   Ilhan, Sevinç ^a   Özkan, Coşkun ^a  

^a KOCAELI UNIVERSITY   (Turkey)

Author keywords

Clustering analysis; Fuzzy Adaptive Resonance Theory (Fuzzy ART); Supplier evaluation and selection

Indexed keywords

CATEGORIZATION METHODS; CLASS NUMBERS; CLASSIFICATION ABILITY; CLUSTERING ANALYSIS; FUZZY ADAPTIVE RESONANCE THEORIES; FUZZY ART; LONG TERM; MULTICRITERIA DECISION; NEW TOOLS; SELECTION METHODS; SELECTION PROBLEMS; STRATEGIC ISSUES; SUPPLIER EVALUATIONS; SUPPLIER SELECTION;

DECISION MAKING; RESONANCE; SALES;

FUZZY CLUSTERING;

EID: 71749095340     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2009.06.004     Document Type: Article

References (28)

1. Amid, A., Ghodsypour, S. H., & O'Brien C. (in press). A weighted additive fuzzy multi objective model for the supplier selection problem under price breaks in a supply chain. International Journal of Production Economics.
2. Aydi{dotless}n Keskin, G., & Özkan, C. (in press). A new evaluation method for FMEA: Fuzzy ART algorithm. Quality and Reliability Engineering International.
3. Chen C., Lin C., and Huang S. A fuzzy approach for supplier evaluation and selection in supply chain management. International Journal of Production Economics 102 (2006) 289-301
4. Che Z.H., and Wang H.S. Supplier selection and supply quantity allocation of common and non-common parts with multiple criteria under multiple products. Computers & Industrial Engineering 55 (2008) 110-133
5. Dagher I. ART networks with geometrical distances. Journal of Discrete Algorithms 4 4 (2006) 538-553
6. Gencer C., and Gürpi{dotless}nar D. Analytic network process in supplier selection: A case study in an electronic firm. Applied Mathematical Modeling 31 (2007) 2475-2486
7. Guo X. Supplier selection based on hierarchical potential support vector machine. Expert Systems with Applications 36 (2009) 6978-6985
8. Guosheng H., and Guohong Z. Comparison on neural networks and support vector machines in supplier's selection. Journal of Systems Engineering and Electronics 19 2 (2008) 316-320
9. Ha S.H., and Krishnan R. A hybrid approach to supplier selection for the maintenance of a competitive supply chain. Expert Systems With Applications 34 (2008) 1303-1311
10. Hsu C., and Hu A.H. Applying hazardous substance management to supplier selection using analytic network process. Journal Of Cleaner Production (2008) 1-10
11. Kokangul A., and Susuz Z. Integrated analytical hierarch process and mathematical programming to supplier selection problem with quantity discount. Applied Mathematical Modeling 33 (2009) 1417-1429
12. Kondadadi, R., & Kozma, R. A. (2002). Modified fuzzy ART for soft document clustering. In Proceedings of the 2002 international joint conference on neural networks, IEEE (pp. 2545-2549).
13. Lee C.C., and Ou-Yang C. A neural networks approach for forecasting the supplier's bid prices in supplier selection negotiation process. Expert Systems With Applications 36 (2009) 2961-2970
14. Lee A.H.I., Kang H., and Chang C. Fuzzy multiple goal programming applied to TFT-LCD supplier selection by downstream manufacturers. Expert Systems With Applications 36 (2009) 6318-6325
15. Lee A.H.I. A fuzzy supplier selection model with the consideration of benefits, opportunities, costs and risks. Expert Systems with Applications 36 (2009) 2879-2893
16. Liu T., and Li R. A new ART-counterpropagation neural network for solving a forecasting problem. Expert Systems With Applications 28 (2005) 21-27
17. Li G., Yamaguchi D., and Nagai M. A grey-based decision-making approach to the supplier selection problem. Mathematical and Computer Modeling 46 (2007) 573-581
18. Lopes M.L.M., Minussi C.R., and Lotufo A.D.P. Electric load forecasting using a fuzzy ART&ARTMAP neural network. Applied Soft Computing 5 (2005) 235-244
19. Moghadam M.R.S., Afsar A., and Sohrabi B. Inventory lot-sizing with supplier selection using hybrid intelligent algorithm. Applied Soft Computing 8 (2008) 1523-1529
20. Özgen D., Onut S., Gülsün B., Tuzkaya U.R., and Tuzkaya G. A two-phase possibilistic linear programming methodology for multi-objective supplier evaluation and order allocation problems. Information Sciences 178 (2008) 485-500
21. Pacella M., Semeraro Q., and Anglani A. Manufacturing quality control by means of a fuzzy ART network trained on natural process data. Artificial Intelligence 17 (2004) 83-96
22. Saen R.F. A new mathematical approach for suppliers selection: Accounting for non-homogeneity is important. Applied Mathematics and Computations 185 (2007) 84-95
23. Sanayei A., Mousavi S.F., Abdi M.R., and Mohaghar A. An integrated group decision-making process for supplier selection and order allocation using multi-attribute utility theory and linear programming. Journal of Franklin Institute 345 (2008) 7, 731-74
24. Suresh N.C., and Kaparthi S. Performance of fuzzy ART neural network for group technology cell-formation. International Journal of Production Research 32 (1994) 1693-1713
25. Üstün O., and Demirtaş E.A. Multi-period lot-sizing with supplier selection using achievement scalarizing functions. Computers & Industrial Engineering 54 (2008) 918-931
26. Wang J., Cheng C., and Kun-Cheng H. Fuzzy hierarchical TOPSIS for supplier selection. Applied Soft Computing 9 (2009) 377-386
27. Wu W., Sukoco B.M., Li C., and Chen S. An integrated multi-objective decision-making process for supplier selection with bundling problem. Expert Systems With Applications 36 (2009) 2327-2337
28. Xia W., and Wu Z. Supplier selection with multiple in criteria volume discount environments. Omega 35 (2007) 494-504