Robot selection by a multiple criteria complex proportional assessment method under an interval-valued fuzzy environment

International Journal of Advanced Manufacturing Technology

Volumn 73, Issue 5-8, 2014, Pages 687-697

  Vahdani, Behnam ^a   Mousavi, S Meysam ^b   Tavakkoli Moghaddam, R ^c   Ghodratnama, A ^c   Mohammadi, M ^c  

^a ISLAMIC AZAD UNIVERSITY   (Iran)

^b SHAHED UNIVERSITY   (Iran)

^c UNIVERSITY OF TEHRAN   (Iran)

Author keywords

Complex proportional assessment (COPRAS); Interval valued fuzzy sets; Multiple criteria analysis; Robot selection

Indexed keywords

FUZZY RULES; LINGUISTICS; ROBOTS; UNCERTAINTY ANALYSIS;

COMPLEX PROPORTIONAL ASSESSMENTS; INTERVAL-VALUED FUZZY SETS; MANUFACTURING COMPANIES; MULTIPLE CRITERIA ANALYSIS; PRECISE DETERMINATIONS; ROBOT SELECTION; TRIANGULAR FUZZY NUMBERS; UNCERTAINTY AND RISKS;

RISK ASSESSMENT;

EID: 84905081052     PISSN: 02683768     EISSN: 14333015     Source Type: Journal    
DOI: 10.1007/s00170-014-5849-9     Document Type: Article

References (50)

1. Rao RV (2007) Decision making in the manufacturing environment using graph theory and fuzzy multiple attribute decision making methods. Springer, London
2. Knott K, Getto RD (1982) A model for evaluating alternative robot systems under uncertainty. Int J Prod Res 20:155-165 (Pubitemid 12568524)
3. Agrawal VP, Kohli V, Gupta S (1991) Computer aided robot selection: the multiple attribute decision making approach. Int J Prod Res 29:1629-1644
4. Liang GH, Wang M-JJ (1993) A fuzzy multi-criteria decision making approach for robot selection. Robot Comput Integr Manuf 10:267-274 (Pubitemid 23703576)
5. Goh CH (1997) Analytic hierarchy process for robot selection. J Manuf Syst 16:381-386
6. Parkan C, Wu ML (1999) Decision-making and performance measurement models with applications to robot selection. Comput Ind Eng 36:503-523 (Pubitemid 129303999)
7. Khouja MJ, Kumar RL (1999) An options view of robot performance parameters in a dynamic environment. Int J Prod Res 37:1243-1257
8. Bragilia M, Petroni A (1999) Evaluating and selecting investments in industrial robots. Int J Prod Res 37:4157-4178 (Pubitemid 30519008)
9. Layek AM, Resare LJ (2000) Algorithm based decision support system for the concerted selection of equipment in machining/assembly cells. Int J Prod Res 38:323-339 (Pubitemid 35395478)
10. Chu TC, Lin YC (2003) A fuzzy TOPSIS method for robot selection. Int J Adv Manuf Technol 21:284-290
11. Bhangale PP, Agrawal VP, Saha SK (2004) Attribute based specification, comparison and selection of a robot. Mech Mach Theory 39:1345-1366
12. Karsak EE, Ahiska SS (2005) Practical common weight multi-criteria decision-making approach with an improved discriminating power for technology selection. Int J Prod Res 43(8):1537-1554 (Pubitemid 41633047)
13. Rao RV, Padmanabhan KK (2006) Selection, identification and comparison of industrial robots using digraph and matrix methods. Robot Comput Integr Manuf 22:373-383 (Pubitemid 43343782)
14. Chatterjee P, Manikrao Athawale V, Chakraborty S (2010) Selection of industrial robots using compromise ranking and outranking methods. Robot Comput Integr Manuf 26:483-489
15. Sambuc R (1975) Fonctions f-floues. Application a'l'aide au diagnostic en pathologie thyroidienne. PhD Thesis, University of Marseille
16. Grattan-Guinness I (1975) Fuzzy membership mapped onto interval and many-valued quantities. Z Math Logik Grundlag Mathe 22:149-160
17. Gorzalczany MB (1987) A method of inference in approximate reasoning based on interval-valued fuzzy sets. Fuzzy Sets Syst 21:1-17 (Pubitemid 18536752)
18. Turksen IB (1986) Interval-valued fuzzy sets based on normal forms. Fuzzy Sets Syst 20:191-210
19. Cornelis C, Deschrijver G, Kerre EE (2006) Advances and challenges in interval-valued fuzzy logic. Fuzzy Sets Syst 157:622-627 (Pubitemid 43189821)
20. Karnik NN, Mendel JM (2001) Operations on type-2 fuzzy sets. Fuzzy Sets Syst 122:327-348 (Pubitemid 32590558)
21. Wang G, Li X (1998) The applications of interval-valued fuzzy numbers and interval-distribution numbers. Fuzzy Sets Syst 98:331-335
22. Bustince H (1994) Conjuntos Intuicionistas e Intervalo valorados Difusos: Propiedades y Construccion, Relaciones Intuicionistas Fuzzy. Thesis, Universidad Publicade Navarra
23. Turksen IB (1992) Interval-valued fuzzy sets and compensatory. Fuzzy Sets Syst 51:295-307
24. Turksen IB (1996) Interval-valued strict preference with Zadeh triples. Fuzzy Sets Syst 78:183-195 (Pubitemid 126667367)
25. Mustajoki J, Hamalainen RP, Salo A (2005) Decision support by interval SMART/SWING - incorporating imprecision in the SMART and SWING methods. Decis Sci 36(2):317-339 (Pubitemid 41638596)
26. Halouani N, Chabchoub H, Martel JM (2009) PROMETHEE-MD-2T method for project selection. Eur J Oper Res 195(3):841-849
27. Vahdani B, Hadipour H (2011) Extension of ELECTRE method based on interval-valued fuzzy sets. Soft Comput 15(3):569-579
28. Vahdani B, Hadipour H, Sadaghiani JH, Amiri M (2010) Extension of VIKOR method based on interval-valued fuzzy sets. Int J Adv Manuf Technol 47(9-12):1231-1239
29. Vahdani B, Tavakkoli-Moghaddam R, Mousavi SM, Ghodratnama A (2013) Soft computing based on new fuzzy modified multi-criteria decision making method. Appl Soft Comput 13:165-172
30. Yao JS, Yu MM (2004) Decision making based on statistical data, signed distance and compositional rule of inference. Int J Uncertain Fuzzy Knowl-Based Syst 12(2):161-190
31. Ashtiani B, Haghighirad F, Makui A, Montazer G (2009) Extension of fuzzy TOPSIS method based on interval-valued fuzzy sets. Appl Soft Comput 9:457-461
32. Mousavi SM, Vahdani B, Tavakkoli-Moghaddam R, Ebrahimnejad S, Amiri M (2013) A multi-stage decision making process for multiple attributes analysis under an interval-valued fuzzy environment. Int J Adv Manuf Technol 64:1263-1273
33. Ebrahimnejad S, Mousavi SM, Seyrafianpour H (2010) Risk identification and assessment for build-operate-transfer projects: a fuzzy multi attribute decision making model. Expert Syst Appl 37:575-586
34. Mousavi SM, Torabi SA, Tavakkoli-Moghaddam R (2013) A hierarchical group decision-making approach for new product selection in a fuzzy environment. Arab J Sci Eng 38(11):3233-3248
35. Ebrahimnejad S, Mousavi SM, Tavakkoli-Moghaddam R, Heydar M (2012) Evaluating high risks in large-scale projects using an extended VIKOR method under a fuzzy environment. Int J Ind Eng Comput 3:463-476
36. Mousavi SM, Jolai F, Tavakkoli-Moghaddam R (2013) A fuzzy stochastic multi-attribute group decision-making approach for selection problems. Group Decis Negot 22(2):207-233
37. Opricovic S, Tzeng GH (2004) Compromise solution by MCDM methods: a comparative analysis of VIKOR and TOPSIS. Eur J Oper Res 156:445-455
38. Opricovic S, Tzeng GH (2007) Extended VIKOR method in comparison with outranking methods. Eur J Oper Res 178(2):514-529 (Pubitemid 44750475)
39. Chatterjee P, Manikrao Athawale V, Chakraborty S (2011) Materials selection using complex proportional assessment and evaluation of mixed data methods. Mater Des 32:851-860
40. Zavadskas EK, Turskis Z, Tamosaitiene J, Marina V (2008) Multicriteria selection of project managers by applying grey criteria. Technol Econ Dev Econ 14(4):462-477
41. Triantaphyllou E (2000) Multi-criteria decision making methods: a comparative study. Kluwer Academic, London
42. Tavakkoli-Moghaddam R, Mousavi SM, Heydar M (2011) An integrated AHP-VIKOR methodology for plant location selection. Int J Eng Trans B Appl 24(2):127-137
43. Vahdani B, Mousavi SM, Tavakkoli-Moghaddam R (2011) Group decision making based on novel fuzzy modified TOPSIS method. Appl Math Model 35:4257-4269
44. Mousavi SM, Tavakkoli-Moghaddam R, Heydar M, Ebrahimnejad S (2013) Multi-criteria decision-making for plant location selection: an integrated Delphi-AHP-PROMETHEE methodology. Arab J Sci Eng 38:1255-1268
45. Mousavi SM, Makui A, Raissi S, Mojtahedi SMH (2012) A multi-criteria decision-making approach with interval numbers for evaluating project risk responses International. J Eng Trans B Appl 25(2):117-124
46. Zavadskas E, Kaklauskas A (1996) Multiple criteria analysis of buildings (in Lithuanian). Technika, Vilnius
47. Zavadskas EK (1987) Complex estimation and choice of resource saving decisions in construction. Mokslas, Vilnius
48. Zadeh LA (1975) The concept of a linguistic variable and its application to approximate reasoning. Inf Sci 8:301-357, (a) 199-249
49. Chiang J (2001) Fuzzy linear programming based on statistical confidence interval and interval-valued fuzzy set. Eur J Oper Res 129:65-86 (Pubitemid 32071223)
50. Grzegorzewski P (2004) Distances between intuitionistic fuzzy sets and/or interval valued fuzzy sets based on the Hausdorff metric. Fuzzy Sets Syst 148:319-328