Service selection based on fuzzy TOPSIS method

24th IEEE International Conference on Advanced Information Networking and Applications Workshops, WAINA 2010

Volumn , Issue , 2010, Pages 367-372

  Lo, Chi Chun ^a   Chen, Ding Yuan ^a   Tsai, Chen Fang ^b   Chao, Kuo Ming ^c  

^a NATIONAL CHIAO TUNG UNIVERSITY   (Taiwan)

^b ALETHEIA UNIVERSITY   (Taiwan)

^c Institute for Clean Growth and Future Mobility   (United Kingdom)

Author keywords

Fuzzy TOPSIS; Multiple criteria decision making (MCDM); QoS; Web services

Indexed keywords

CLOUD COMPUTING; EVALUATION METHOD; FUZZY TOPSIS; GROUP DECISION MAKING; IDEAL SOLUTIONS; LINGUISTIC VARIABLE; MULTIPLE CRITERIA; MULTIPLE CRITERIA DECISION MAKING; MULTIPLE CRITERIA DECISION MAKING (MCDM); NON-FUNCTIONAL REQUIREMENTS; NUMERICAL EXAMPLE; PARAMETERIZED; RAPID DEVELOPMENT; SERVICE SELECTION; TRIANGULAR FUZZY NUMBERS;

COMPUTATIONAL EFFICIENCY; DECISION MAKING; DISTRIBUTED COMPUTER SYSTEMS; FUZZY SETS; INFORMATION SERVICES; QUALITY OF SERVICE;

WEB SERVICES;

EID: 77954800392     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WAINA.2010.117     Document Type: Conference Paper

References (31)

1. F. Casati, S. Ilnicki, and L. Jin. Adaptive and dynamic service composition in EFlow. In Proceedings of 12th International Conference on Advanced Information Systems Engineering(CAiSE), Stockholm, Sweden, June 2000. Springer Verlag.
2. F. Casati, M. Sayal, and M.-C. Shan. Developing e-services for composing eservices. In Proceedings of 13th International Conference on Advanced Information Systems Engineering(CAiSE), Interlaken, Switzerland, June 2001. Springer Verlag.
3. H. Schuster, D. Georgakopoulos, A. Cichocki, and D. Baker. Modeling and composing service-based and reference process-based multienterprise processes. In Proceeding of 12th International Conference on Advanced Information Systems Engineering (CAiSE), Stockholm, Sweden, June 2000. Springer Verlag.
4. B. Medjahed, A. Bouguettaya, and A. K. Elmagarmid. Composing Web services on the Semantic Web. The VLDB Journal, 12(4), November 2003.
5. S. Narayanan and S. McIlraith. Simulation, verification and automated composition of Web service. In Proceedings of the 11th International World Wide Web Conference, Honolulu, Hawaii, USA, May 2002. ACM.
6. E. Sirin, J. Hendler, and B. Parsia. Semi-automatic composition of Web services using semantic descriptions. In Proceedings of Web Services: Modeling, Architecture and Infrastructure workshop in conjunction with ICEIS2003, 2002.
7. Chun-Lung Huang, Chi-Chun Lo, Ping Wang, Kuo-Ming Chao, Yinsheng Li, "Applying Semi-Order Preference Model in Content-based Service Discovery", International Journal of E-Business Management, Vol.5, No1, 2007, pp48-58.
8. P. Wang, K-M Chao, and C-C Lo, " On Optimal Decision for QoSaware Composite Service Selection ", International Journal of Expert Systems with Applications, Vol.48, Issue 3, Elsevier Science.
9. C. Hwang, K. Yoon, Multiple attribute decision making methods and application, Springer, New York, 1981.
10. H. Deng, C. H. Yeh, R. J. Willis, Inter-company comparison using modified TOPSIS with objective weights, Comput. Oper. Res. 27 (2000) 963-973.
11. H. S. Shih, H. J. Shyur, E. S. Lee, An extension of TOPSIS for group decision making, Math. Comput. Model. 45 (2007) 801-813.
12. S. H. Zanakis, A. Solomon, N. Wishart, S. Dublish, Multi-attribute decision making: A simulation comparison of select methods, Eur. J. Oper. Res. 107 (1998) 507-529.
13. C. C. Sun, G. T. R. Lin, Using fuzzy TOPSIS method for evaluating the competitive advantages of shopping websites, Expert Syst. Appl. 36 (2009) 11764-11771.
14. I. Chamodrakas, N. Alexopoulou, D. Martakos, Customer evaluation for order acceptance using a novel class of fuzzy methods based on TOPSIS, Expert Syst. Appl. 36 (2009) 7409-7415.
15. T. C. Chu, Y. C. Lin, An interval arithmetic based fuzzy TOPSIS model, Expert Syst. Appl. 36 (2009) 10870-10876.
16. C. Kahraman, O. Engin, Ö. Kabak, Ï. Kaya, Information systems outsourcing decisions using a group decision-making approach, Eng. Appl. Artif. Intell. 22 (2009) 832-841.
17. T. C. Chen, C. Y. Tsao, The interval-valued fuzzy TOPSIS method and experimental analysis, Fuzzy Sets Syst.159 (11) (2008) 1410-1428.
18. M. A. Abo-Sinna, A. H. Amer, A. S. Ibrahim, Extensions of TOPSIS for large scale multi-objective non-linear programming problems with block angular structure, Appl. Math. Model. 32 (2008) 292-302.
19. H. T. Lin, W. L. Chang, Order selection and pricing methods using flexible quantity and fuzzy approach for buyer evaluation, Eur. J. Oper. Res. 187 (2008) 415-428.
20. D. F. Li, Compromise ratio method for fuzzy multi-attribute group decision making, Appl. Soft. Comput. 7 (3) (2007) 807-817.
21. T. C. Wang, T. H. Chang, Application of TOPSIS in evaluating initial training aircraft under a fuzzy environment, Expert Syst. Appl. 33 (2007) 870-880.
22. Y. J. Wang and H. S. Lee, "Generalizing TOPSIS for fuzzy multiplecriteria group decision-making," Computers and Mathematics with Applications, vol.53, no.11, pp. 1762-1772, 2007.
23. D. Yong, Plant location selection based on fuzzy TOPSIS, Int. J. Adv. Manuf. Technol 28 (2006) 839-844.
24. C. C. Chou, The canonical representation of multiplication operation on triangular fuzzy numbers, Comput. Math. Appl. 45 (2003) 1601-1610.
25. A. Kauffman, M. M. Gupta, Introduction of fuzzy arithmetic: Theory and applications, Van Nostrand, New York, 1985.
26. H. J. Zimmermann, Fuzzy set theory and its applications, Kluwer, Boston, 1991.
27. H. Minkowski, Geometrie der Zahlen, Teubner, Leipzig, 1896.
28. H. Minkowski, Gesammelte Abhandlungen, Teubner, Leipzig, 1991.
29. P. Wang, K. M. Chao, C. C. Lo, C. L. Huang, Y. Li, A fuzzy model for selection of QoS-aware web services, in: Proc. of IEEE ICEBE, 2006.
30. W3C, QoS for Web service: requirements and possible approaches, Working group note, 2003.
31. Hsi-Mei Hsu, Chen-Tung Chen, Aggregation of fuzzy opinions under group decision making, Fuzzy Sets and Systems, Volume 79, Issue 3, 13 May 1996, Pages 279-285.