Identifying customers 'needs on electronic services of bank using fuzzy QFD approach

Australian Journal of Basic and Applied Sciences

Volumn 6, Issue 8, 2012, Pages 287-296

  Eftekhary, Meysam ^a   Safari, Saeed ^a   Shojaee, Mohammad ^b   Assarian, Majid ^b   Karimi, Iman ^c  

^a ISLAMIC AZAD UNIVERSITY   (Iran)

^b Buo Ali University ^*

^c Department of Educational Management   (Iran)

Author keywords

Analytic hierarchy process(AHP); Fuzzy comparison matrix; Fuzzy logarithmic least squares method (LLSM); House of quality(HOQ); Kano model; Quality function development (QFD)

Indexed keywords

EID: 84870438182     PISSN: 19918178     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (32)

1. Akao, Y., 1972. New product development and quality assurance deployment system. Standardization and Quality Control, 25(4): 243-246 [in Japanese]
2. Akao, Y., 1990. Quality function deployment: Integrating customer requirements into product design. Cambridge, MA: Productivity Press.
3. Bartikowski, B., S. Llosa, 2003. Identifying Satisfiers, Dissatisfiers, Criticals and Neutrals in Customer Satisfaction. Working Paper n° 05-2003, Mai 2003. Euromed-Ecole de Management. Marseille.
4. Boender, C.G.E., J.G. deGraan, F.A. Lootsma, 1989. Multi-criteria decision analysis with fuzzy pairwise comparisons Fuzzy Sets and Systems, 29: 133-143.
5. Brown, P.G., 1991. QFD: Echoing the voice of the customer, AT&T Technical Journal, March-April., pp: 18-32.
6. Buckley, J.J., 1985. Fuzzy hierarchical analysis, Fuzzy Sets and Systems, 17: 233-247.
7. Buckley, J.J., T. Feuring, Y. Hayashi, 2001. Fuzzy hierarchical analysis revisited, European Journal of Operational Research, 129(1): 48-64.
8. Chen, L.H., & H.W. Lu, 2001. An approximate approach for ranking fuzzy numb based on left and right dominance. Computers and Mathematics with Application
9. Chen, M.-F., G.-H. Tzeng, C.G. Ding, Combining fuzzy AHP with MDS in identifying the preference similarity of alternatives, Applied Soft Computing 8
10. Csutora, R., J.J. Buckley, 2001. Fuzzy hierarchical analysis: the Lambda-Max method, Fuzzy Sets and Systems, 120(2): 181-195.
11. Deng, H., 1999. Multicriteria analysis with fuzzy pairwise comparison, International Journal of Approximate Reasoning, 21(3): 215-231.
12. Enea, M., T. Piazza, 2004. Project selection by constrained fuzzy AHP, Fuzzy Optimization and Decision Making, 3: 39-62.
13. Erensal, Y.C., T. Öncan, M.L. Demircan, 2006. Determining key capabilities in technology management using fuzzy analytic hierarchy process: A case study ofTurkey, Information Sciences, 176(18): 2755-2770.
14. Gogus, O., T.O. Boucher, 1997. A consistency test for rational weights in multi-criterion decision analysis with fuzzy pairwise comparisons, Fuzzy Sets and Systems, 86: 129-138.
15. Gogus, O., T.O. Boucher, 1998. Strong transitivity and weak monotonicity in fuzzy pairwise comparisons, Fuzzy Sets and Systems, 94: 133-144.
16. Göleç, A., H. Taski{dotless}n, 2007. Novel methodologies and a comparative study for manufacturing systems performance evaluations, Information Sciences, 177(235274-5253).
17. Grin A. and J. Hauser, 1992. The voice of the customer, Technical report, Working paper 92-106, Marketing ScienceInstitute, Cambridge, MA, 1992.
18. Hauser, J.R., D. Clausing, 1988. The house of quality, HarvardBusiness Review, 32(5): 63-73.
19. Hauser, R., 1993. How Puritan-Bennett used the house ofquality, Sloan Management Review, 34(3): 61-70.
20. King, R., 1987. Listening to the voice of the customer: Using thequality function deployment system, National ProductivityReview, pp: 277-281.
21. Kulak, O., C. Kahraman, 2005. Fuzzy multi-attribute selection among transportation companies using axiomatic design and analytic hierarchy processInformation Sciences, 170(2-4): 191-210.
22. Mikhailov, L., 2000. A fuzzy programming method for deriving priorities in the analytic hierarchy process, Journal of Operational Research Society, 51: 349-341.
23. Mikhailov, L., 2003. Deriving priorities from fuzzy pairwise comparison judgements, Fuzzy Sets and Systems, 134(3): 365-385.
24. Mohanty, B.K., N. Singh, 1994. Fuzzy relational equations in analytical hierarchy process, Fuzzy Sets and Systems, 63: 11-19.
25. Rao, V., R. Katz, 1992. Alternative multidimensional scalingmethods for large stimulus sets, Journal of Marketing Research, 8: 488-494.
26. Revelle, J.B., J.W. Moran, & C.A. Cox, 1998. The QFD handbook. NY: John Wile Sons&.
27. Ruoing, X., Z. Xiaoyan, 1992. Extensions of the analytic hierarchy process in fuzzy environment, Fuzzy Sets and Systems, 52: 251-257.
28. Ruoing, X., Z. Xiaoyan, 1996. Fuzzy logarithmic least squares ranking method in analytical hierarchy process, Fuzzy Sets and Systems, 77: 175-190.
29. Ruoning, X., 2000. Fuzzy least square priority method in the analytic hierarchy process, Fuzzy Sets System, 112: 395-404.
30. Van Laarhoven, P.J.M., W. Pedrycz, 1983. A fuzzy extension of Saaty's priority theory, Fuzzy Sets and Systems, 11: 229-241.
31. Yu, C.-S., 2002. A GP-AHP method for solving group decision-making fuzzy AHP problems, Computers and Operations Research, 29(14): 1969-2001.
32. Zhu, K.-J., Y. Jing, D.-Y. Chang, 1997. A discussion on extent analysis method and applications of fuzzy AHP, European Journal of Operational Research, 116.