Multiple criteria group decision-making for supplier selection based on COPRAS method with interval type-2 fuzzy sets

International Journal of Advanced Manufacturing Technology

Volumn 75, Issue 5-8, 2014, Pages 1115-1130

  Keshavarz Ghorabaee, Mehdi ^a   Amiri, Maghsoud ^a   Salehi Sadaghiani, Jamshid ^a   Hassani Goodarzi, Golnoosh ^a  

^a ALLAMEH TABATABA'I UNIVERSITY   (Iran)

Author keywords

COPRAS method; Interval type 2 fuzzy sets; Multiple criteria group decision making; Supplier selection

Indexed keywords

ECONOMIC AND SOCIAL EFFECTS; FUZZY RULES; SUPPLY CHAINS;

COMPLEX PROPORTIONAL ASSESSMENTS; COPRAS METHOD; GROUP DECISION MAKING; INTERVAL TYPE-2 FUZZY; INTERVAL TYPE-2 FUZZY SETS; NEGATIVE-IDEAL SOLUTIONS; PURCHASING MANAGEMENTS; SUPPLIER SELECTION;

DECISION MAKING;

EID: 84910135912     PISSN: 02683768     EISSN: 14333015     Source Type: Journal    
DOI: 10.1007/s00170-014-6142-7     Document Type: Article

References (52)

1. Hicks C, McGovern T, Earl CF (2000) Supply chain management: a strategic issue in engineer to order manufacturing. Int J Prod Econ 65(2):179–190
2. Degraeve Z, Roodhooft F (1999) Improving the efficiency of the purchasing process using total cost of ownership information: The case of heating electrodes at Cockerill Sambre S.A. Eur J Oper Res 112(1):42–53
3. Degraeve Z, Labro E, Roodhooft F (2000) An evaluation of vendor selection models from a total cost of ownership perspective. Eur J Oper Res 125(1):34–58
4. Patton Iii WE (1996) Use of human judgment models in industrial buyers' vendor selection decisions. Ind Mark Manag 25(2):135–149
5. Jayaraman V, Srivastava R, Benton WC (1999) Supplier selection and order quantity allocation: a comprehensive model. J Supply Chain Manag 35(1):50–58
6. Weber CA, Current JR (1993) A multiobjective approach to vendor selection. Eur J Oper Res 68(2):173–184
7. Weber CA, Current JR, Benton WC (1991) Vendor selection criteria and methods. Eur J Oper Res 50(1):2–18
8. Weber CA, Current JR, Desai A (1998) Non-cooperative negotiation strategies for vendor selection. Eur J Oper Res 108(1):208–223
9. Kumar M, Vrat P, Shankar R (2004) A fuzzy goal programming approach for vendor selection problem in a supply chain. Comput Ind Eng 46(1):69–85
10. Wise R, Morrison D (2000) Beyond the exchange: the future of B2B (cover story). Harv Bus Rev 78(6):86–96
11. Roshandel J, Miri-Nargesi SS, Hatami-Shirkouhi L (2013) Evaluating and selecting the supplier in detergent production industry using hierarchical fuzzy TOPSIS. Appl Math Model 37(24):10170–10181
12. Ghodsypour SH, O'Brien C (1998) A decision support system for supplier selection using an integrated analytic hierarchy process and linear programming. Int J Prod Econ 56–57:199–212
13. Dulmin R, Mininno V (2003) Supplier selection using a multi-criteria decision aid method. J Purch Supply Manag 9(4):177–187
14. Amid A, Ghodsypour SH, O’Brien C (2009) A weighted additive fuzzy multiobjective model for the supplier selection problem under price breaks in a supply chain. Int J Prod Econ 121(2):323–332
15. Zadeh LA (1965) Fuzzy sets. Inf Control 8(3):338–353
16. Chen C-T (2000) Extensions of the TOPSIS for group decision-making under fuzzy environment. Fuzzy Sets Syst 114(1):1–9
17. Yager RR, Xu Z (2006) The continuous ordered weighted geometric operator and its application to decision making. Fuzzy Sets Syst 157(10):1393–1402
18. Hwang CL, Yoon KP (1981) Multiple attribute decision making methods and applications: a state-of-the art survey. Springer, London
19. Kaya T, Kahraman C (2011) Multicriteria decision making in energy planning using a modified fuzzy TOPSIS methodology. Expert Syst Appl 38(6):6577–6585
20. Li D-F, Yang J-B (2004) Fuzzy linear programming technique for multiattribute group decision making in fuzzy environments. Inf Sci 158:263–275
21. Ma J, Lu J, Zhang G (2010) Decider: a fuzzy multi-criteria group decision support system. Knowl-Based Syst 23(1):23–31
22. Alipour MH, Shamsai A, Ahmady N (2010) A new fuzzy multicriteria decision making method and its application in diversion of water. Expert Syst Appl 37(12):8809–8813
23. Yeh C-H, Chang Y-H (2009) Modeling subjective evaluation for fuzzy group multicriteria decision making. Eur J Oper Res 194(2):464–473
24. Zadeh LA (1975) The concept of a linguistic variable and its application to approximate reasoning—I. Inf Sci 8(3):199–249
25. Mendel JM, John RI, Feilong L (2006) Interval type-2 fuzzy logic systems made simple. IEEE Trans Fuzzy Syst 14(6):808–821
26. Mendel JM (2009) On answering the question “Where do I start in order to solve a new problem involving interval type-2 fuzzy sets?”. Inf Sci 179(19):3418–3431
27. Mendel JM (2007) Type-2 fuzzy sets and systems: an overview [corrected reprint]. IEEE Comput Intell Mag 2(2):20–29
28. Mitchell HB (2005) Pattern recognition using type-II fuzzy sets. Inf Sci 170(2–4):409–418
29. Zeng W, Li H (2006) Relationship between similarity measure and entropy of interval valued fuzzy sets. Fuzzy Sets Syst 157(11):1477–1484
30. Wu D, Mendel JM (2008) A vector similarity measure for linguistic approximation: Interval type-2 and type-1 fuzzy sets. Inf Sci 178(2):381–402
31. Chen S-M, Lee L-W (2010) Fuzzy multiple attributes group decision-making based on the interval type-2 TOPSIS method. Expert Syst Appl 37(4):2790–2798
32. Lu HW, Huang GH, He L (2010) Development of an interval-valued fuzzy linear-programming method based on infinite α-cuts for water resources management. Environ Model Softw 25(3):354–361
33. Vahdani B, Jabbari A, Roshanaei V, Zandieh M (2010) Extension of the ELECTRE method for decision-making problems with interval weights and data. Int J Adv Manuf Technol 50(5–8):793–800
34. Vahdani B, Hadipour H (2011) Extension of the ELECTRE method based on interval-valued fuzzy sets. Soft Comput 15(3):569–579
35. Vahdani B, Hadipour H, Sadaghiani J, Amiri M (2010) Extension of VIKOR method based on interval-valued fuzzy sets. Int J Adv Manuf Technol 47(9–12):1231–1239
36. Chen T-Y (2012) Multiple criteria group decision-making with generalized interval-valued fuzzy numbers based on signed distances and incomplete weights. Appl Math Model 36(7):3029–3052
37. Chen T-Y (2013) A linear assignment method for multiple-criteria decision analysis with interval type-2 fuzzy sets. Appl Soft Comput 13(5):2735–2748
38. Wang W, Liu X, Qin Y (2012) Multi-attribute group decision making models under interval type-2 fuzzy environment. Knowl-Based Syst 30:121–128
39. Chen S-M, Yang M-W, Lee L-W, Yang S-W (2012) Fuzzy multiple attributes group decision-making based on ranking interval type-2 fuzzy sets. Expert Syst Appl 39(5):5295–5308
40. Chen T-Y (2013) A signed-distance-based approach to importance assessment and multi-criteria group decision analysis based on interval type-2 fuzzy set. Knowl Inf Syst 35(1):193–231
41. Hu J, Zhang Y, Chen X, Liu Y (2013) Multi-criteria decision making method based on possibility degree of interval type-2 fuzzy number. Knowl-Based Syst 43:21–29
42. Chen S-M, Lee L-W (2010) Fuzzy multiple attributes group decision-making based on the ranking values and the arithmetic operations of interval type-2 fuzzy sets. Expert Syst Appl 37(1):824–833
43. Zhang Z, Zhang S (2013) A novel approach to multi attribute group decision making based on trapezoidal interval type-2 fuzzy soft sets. Appl Math Model 37(7):4948–4971
44. Celik E, Bilisik ON, Erdogan M, Gumus AT, Baracli H (2013) An integrated novel interval type-2 fuzzy MCDM method to improve customer satisfaction in public transportation for Istanbul. Transp Res E: Logist Transp Rev 58:28–51
45. Chen S-M, Wang C-Y (2013) Fuzzy decision making systems based on interval type-2 fuzzy sets. Inf Sci 242:1–21
46. Razavi Hajiagha SH, Hashemi SS, Zavadskas EK (2013) A complex proportional assessment method for group decision making in an interval-valued intuitionistic fuzzy environment. Technol Econ Dev Econ 19(1):22–37
47. Zavadskas EK, Kaklauskas A, Turskis Z, Tamošaitiene J (2008) Selection of the effective dwelling house walls by applying attributes values determined at intervals. J Civ Eng Manag 14(2):85–93
48. Wang Y-M, Yang J-B, Xu D-L, Chin K-S (2006) On the centroids of fuzzy numbers. Fuzzy Sets Syst 157(7):919–926
49. Bortolan G, Degani R (1985) A review of some methods for ranking fuzzy subsets. Fuzzy Sets Syst 15(1):1–19
50. Lee ES, Li RJ (1988) Comparison of fuzzy numbers based on the probability measure of fuzzy events. Comput Math Appl 15(10):887–896
51. Baas SM, Kwakernaak H (1977) Rating and ranking of multiple-aspect alternatives using fuzzy sets. Automatica 13(1):47–58
52. Chang J-R, Cheng C-H, Kuo C-Y (2006) Conceptual procedure for ranking fuzzy numbers based on adaptive two-dimensions dominance. Soft Comput 10(2):94–103