Fuzzy multi-attribute cost-benefit analysis of e-Services

International Journal of Intelligent Systems

Volumn 22, Issue 5, 2007, Pages 547-565

  Kahraman, Cengiz ^a   Ateş, Nüfer Yasin ^a   Çevik, Sezi ^a   Gülbay, Murat ^a  

^a ISTANBUL TECHNICAL UNIVERSITY   (Turkey)

Author keywords

[No Author keywords available]

Indexed keywords

COST BENEFIT ANALYSIS; DECISION MAKING; FUZZY SETS; HIERARCHICAL SYSTEMS; LINGUISTICS; RISK ASSESSMENT; UNCERTAIN SYSTEMS;

E-SERVICES; FUZZY HIERARCHICAL TOPSIS MODEL;

WEB SERVICES;

EID: 34247500891     PISSN: 08848173     EISSN: 1098111X     Source Type: Journal    
DOI: 10.1002/int.20213     Document Type: Article

References (24)

1. Boyer KK, Hallowell R, Roth AV. E-services: Operating strategy - A case study and a method for analyzing operational benefits. J Oper Manag 2002;20:175-188.
2. Vaidya OS, Kumar S. Analytic hierarchy process: An overview of applications. Eur J Oper Res 2006;169(1):1-29.
3. Dabholkar PA. Thorpe DI, Rentz JO. A measure of service quality for retail stores: Scale development and validation. J Acad Market Sci 1996;24:3-16.
4. Liu C, Arnett KP. Exploring the factors associated with web site success in the context of electronic commerce. Inform Manag 2000;38:23-33.
5. Wolfinbarger M. Gilly MC. eTailQ: Dimensionalizing, measuring and predicting eTail quality. J Retail 2002;79:183-198.
6. Zadeh L. Fuzzy sets. Inform Contr 1965;8:338-353.
7. Fodor J, Roubens M. Fuzzy preference modeling and multicriteria decision support. Dordrecht: Kluwer Academic: 1994.
8. Tang MT, Tzeng GH, Wang SW. A hierarchy fuzzy MCDM method for studying electronic marketing strategies in the information service industry. J Int Inform Manage 1999;8:1-22.
9. Kahraman C, Ruan D, Dogan I. Fuzzy group decision-making for facility location selection. Int J Prod Econ 2004;87:171-184
10. Kulak O, Kahraman C. Multi-attribute comparison of advanced manufacturing systems using fuzzy vs. crisp axiomatic design approach. Int J Prod Econ 2005;95:415-424.
11. Hwang CL, Yoon K. Multiple attribute decision making methods and applications. New York: Springer-Verlag; 1981.
12. Chen SJ, Hwang CL. Fuzzy multiple attribute decision making methods and applications, Berlin: Springer-Verlag; 1992.
13. Lee ES, Li RL. Comparison of fuzzy numbers based on the probability measure of fuzzy events. Comput Math Appl 1998;15:887-896.
14. Liang GS. Fuzzy MCDM based on ideal and anti-ideal concepts. Eur J Oper Res 1999;112:682-691.
15. Chen SH. Ranking fuzzy numbers with maximizing set and minimizing set. Fuzzy Set Syst 1985;17:113-129.
16. Chen TC. Extensions of the TOPSIS for group decision-making under fuzzy environment. Fuzzy Set Syst 2000;114:1-9.
17. Chu TC. Facility location selection using fuzzy TOPSIS under group decisions. Int J Uncertainty Fuzziness Knowl Based Syst 2002;10:687-701.
18. Liou TS, Wang MJJ. Ranking fuzzy numbers with integral value. Fuzzy Set Syst 1992;50:247-255.
19. Tsaur SH, Chang TY, Yen CH. The evaluation of airline service quality by fuzzy MCDM. Tourism Manag 2002;23:107-115.
20. Zhao R, Govind R. Algebraic characteristics of extended fuzzy numbers. Inform Sci 1991;54:103-130.
21. Zhang G, Lu J. An integrated group decision-making method dealing with fuzzy preferences for alternatives and individual judgments for selection criteria. Group Decis Negot 2003;12:501-515.
22. Chu TC. Lin YC. A fuzzy TOPSIS method for robot selection. Int J Adv Manuf Technol 2003;21:284-290.
23. Kaufmann A, Gupta MM. Fuzzy mathematical models in engineering and management science. Amsterdam: North Holland; 1988.
24. Zadeh L. Similarity relations and fuzzy orderings. Inform Sci 1971;3:177-200.