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A Fuzzy AHP and TOPSIS Approach for Web Service Selection

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Services – SERVICES 2020 (SERVICES 2020)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 12411))

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Abstract

Multi criteria decision making (MCDM) model is proposed for determining the most suitable web service from a collection of functionally-equivalent web services with different non-functional properties. This paper presents an evaluation approach that combines fuzzy analytic hierarchy process (AHP) and Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) to solve the MCDM selection problems with conflicting criteria. Fuzzy AHP method determines subjective weights by dealing with vagueness and uncertainty in subjective user’s judgment while, TOPSIS algorithm ranks the different alternatives. A numerical example is based on a real-world dataset is presented to illustrate the procedural matters of the web service selection model. The numerical results show that the proposed approach can effectively select an appropriate web service based on user preference. WeatherStationService performed better than other web services under the selected QoS requirements.

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References

  1. Ouadah, A., Hadjali, A., Nader, F., Benouaret, K.: SEFAP: an efficient approach for ranking skyline web services. J. Ambient Intell. Hum. Comput. 10(2), 709–725 (2018). https://doi.org/10.1007/s12652-018-0721-7

    Article  Google Scholar 

  2. Benatallah, B., Dijkman, R.M., Dumas, M., Maamar, Z.: Service-composition: concepts, techniques, tools and trends. In: Service-Oriented Software System Engineering: Challenges and Practices, pp. 48–67. IGI Global (2005)

    Google Scholar 

  3. Lall, M., van der Poll, J.A., Venter, L.M.: Towards a formal definition of availability of web services, pp. 154–165, 11–13 November 2012

    Google Scholar 

  4. Negi, N., Chandra, S.: A novel approach for efficient web service selection based on QoS parameters. Int. J. Adv. Stud. Sci. Res. 3 (2018)

    Google Scholar 

  5. Negi, N., Chandra, S.: Web service selection on the basis of QoS parameter. In: 2014 Seventh International Conference on Contemporary Computing (IC3), pp. 495–500 (2014)

    Google Scholar 

  6. Rajendran, T., Balasubramanie, P., Cherian, R.: An efficient WS-QoS broker based architecture for web services selection. Int. J. Comput. Appl. 1, 79–84 (2010)

    Google Scholar 

  7. Kumar, R.R., Kumar, C.: An evaluation system for cloud service selection using fuzzy AHP. In: 2016 11th International Conference on Industrial and Information Systems (ICIIS), pp. 821–826 (2016)

    Google Scholar 

  8. Aljazzaf, Z.M., Capretz, M.A., Perry, M.: Trust-based service-oriented architecture. J. King Saud Univ.-Comput. Inf. Sci. 28, 470–480 (2016)

    Google Scholar 

  9. Lall, M., Venter, L.M., Van der Poll, J.A.: Evaluating the second generation Web services specifications for satisfying non-functional requirements. In: E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education, pp. 1919–1929 (2010)

    Google Scholar 

  10. Opricovic, S., Tzeng, G.-H.: Compromise solution by MCDM methods: a comparative analysis of VIKOR and TOPSIS. Eur. J. Oper. Res. 156, 445–455 (2004)

    Article  MATH  Google Scholar 

  11. Tzeng, G.-H., Lin, C.-W., Opricovic, S.: Multi-criteria analysis of alternative-fuel buses for public transportation. Energy Policy 33, 1373–1383 (2005)

    Article  Google Scholar 

  12. Tzeng, G.-H., Teng, M.-H., Chen, J.-J., Opricovic, S.: Multicriteria selection for a restaurant location in Taipei. Int. J. Hosp. Manag. 21, 171–187 (2002)

    Article  Google Scholar 

  13. Dincer, H., Hacioglu, U.: Performance evaluation with fuzzy VIKOR and AHP method based on customer satisfaction in Turkish banking sector. Kybernetes 42, 1072–1085 (2013)

    Article  Google Scholar 

  14. Kumar, R.D., Zayaraz, G.: A QoS aware quantitative web service selection model. Int. J. Comput. Sci. Eng. 3, 1534–1538 (2011)

    Google Scholar 

  15. Jozwiak, I., Kedziora, M., Marianski, A.: Service selection method with multiple probabilistic QoS attributes using probabilistic AHP. Int. J. Comput. Sci. Netw. Secur. 18, 33–38 (2018)

    Google Scholar 

  16. Godse, M., Sonar, R., Mulik, S.: Web service selection based on analytical network process approach. In: 2008 IEEE Asia-Pacific Services Computing Conference, pp. 1103–1108 (2008)

    Google Scholar 

  17. Lo, C.-C., Chen, D.-Y., Tsai, C.-F., Chao, K.-M.: Service selection based on fuzzy TOPSIS method. In: 2010 IEEE 24th International Conference on Advanced Information Networking and Applications Workshops, pp. 367–372 (2010)

    Google Scholar 

  18. Joshi, S.S., Ramanaiah, O.: An integrated QoE and QoS based approach for web service selection. In: 2016 International Conference on ICT in Business Industry & Government (ICTBIG), pp. 1–7 (2016)

    Google Scholar 

  19. Alabool, H.M., Mahmood, A.K.: Trust-based service selection in public cloud computing using fuzzy modified VIKOR method. Aust. J. Basic Appl. Sci. 7, 211–220 (2013)

    Google Scholar 

  20. Karim, R., Ding, C., Chi, C.-H.: An enhanced PROMETHEE model for QoS-based web service selection. In: 2011 IEEE International Conference on Services Computing, pp. 536–543 (2011)

    Google Scholar 

  21. Purohit, L., Kumar, S.: A classification based web service selection approach. IEEE Trans. Serv. Comput. (2018)

    Google Scholar 

  22. Ouadah, A., Benouaret, K., Hadjali, A., Nader, F.: SkyAP-S3: a hybrid approach for efficient skyline services selection. In: 2015 IEEE 8th International Conference on Service-Oriented Computing and Applications (SOCA), pp. 18–25 (2015)

    Google Scholar 

  23. Serrai, W., Abdelli, A., Mokdad, L., Serrai, A.: Dealing with user constraints in MCDM based web service selection. In: 2017 IEEE Symposium on Computers and Communications (ISCC), pp. 158–163 (2017)

    Google Scholar 

  24. Güngör, Z., Serhadlıoğlu, G., Kesen, S.E.: A fuzzy AHP approach to personnel selection problem. Appl. Soft Comput. 9, 641–646 (2009)

    Article  Google Scholar 

  25. Durán, O., Aguilo, J.: Computer-aided machine-tool selection based on a Fuzzy-AHP approach. Expert Syst. Appl. 34, 1787–1794 (2008)

    Article  Google Scholar 

  26. Chou, Y.-C., Sun, C.-C., Yen, H.-Y.: Evaluating the criteria for human resource for science and technology (HRST) based on an integrated fuzzy AHP and fuzzy DEMATEL approach. Appl. Soft Comput. 12, 64–71 (2012)

    Article  Google Scholar 

  27. Çelik, P., Gök Kisa, A.C.: Fuzzy AHP-fuzzy promethee approach in evaluation of e-service quality: case of airline web sites. J. Int. Soc. Res. 10 (2017)

    Google Scholar 

  28. Brahma, A.K., Mitra, D.K.: Fuzzy AHP and fuzzy VIKOR approach modelling for flood control project selection. Int. J. Appl. Eng. Res. 14, 3579–35889 (2019)

    Google Scholar 

  29. Jatoth, C., Gangadharan, G.R., Fiore, U., Buyya, R.: SELCLOUD: a hybrid multi-criteria decision-making model for selection of cloud services. Soft. Comput. 23(13), 4701–4715 (2018). https://doi.org/10.1007/s00500-018-3120-2

    Article  Google Scholar 

  30. Perçin, S., Aldalou, E.: Financial performance evaluation of Turkish airline companies using integrated fuzzy AHP fuzzy TOPSIS model. In: Uluslararası İktisadi ve İdari İncelemeler Dergisi (18. EYİ Özel Sayısı), pp. 583–598 (2018)

    Google Scholar 

  31. Kumar, R.R., Mishra, S., Kumar, C.: A novel framework for cloud service evaluation and selection using hybrid MCDM methods. Arab. J. Sci. Eng. 43, 7015–7030 (2018). https://doi.org/10.1007/s13369-017-2975-3

    Article  Google Scholar 

  32. Al-Masri, E., Mahmoud, Q.H.: Investigating web services on the world wide web. In: Proceedings of the 17th International Conference on World Wide Web, pp. 795–804 (2008)

    Google Scholar 

  33. Mhlanga, S.T., Lall, M., Ojo, S.O.: Web service selection model using a hybrid approach. Int. J. Eng. Appl. Sci. 15(4), 948–955 (2020)

    Google Scholar 

  34. Pan, N.-F.: Fuzzy AHP approach for selecting the suitable bridge construction method. Autom. Constr. 17(8), 958–965 (2008)

    Article  Google Scholar 

  35. Boutkhoum, O., Hanine, M., Agouti, T., Tikniouine, A.: Selection problem of cloud solution for big data accessing: fuzzy AHP-PROMETHEE as a proposed methodology. J. Digit. Inf. Manag. 14(6) (2016)

    Google Scholar 

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Authors and Affiliations

  1. Tshwane University of Technology, Soshanguve, South Campus, Pretoria, South Africa

    Sandile T. Mhlanga, Manoj Lall & Sunday O. Ojo

Authors
  1. Sandile T. Mhlanga
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  2. Manoj Lall
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  3. Sunday O. Ojo
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Corresponding authors

Correspondence to Manoj Lall or Sunday O. Ojo .

Editor information

Editors and Affiliations

  1. University of Sao Paulo, São Paulo, Brazil

    Joao Eduardo Ferreira

  2. University of Pittsburgh, Pittsburgh, PA, USA

    Balaji Palanisamy

  3. Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China

    Kejiang Ye

  4. Deloitte Consulting, New York, NY, USA

    Siva Kantamneni

  5. Kingdee International Software Group Co., Ltd, Shenzhen, China

    Liang-Jie Zhang

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Mhlanga, S.T., Lall, M., Ojo, S.O. (2020). A Fuzzy AHP and TOPSIS Approach for Web Service Selection. In: Ferreira, J.E., Palanisamy, B., Ye, K., Kantamneni, S., Zhang, LJ. (eds) Services – SERVICES 2020. SERVICES 2020. Lecture Notes in Computer Science(), vol 12411. Springer, Cham. https://doi.org/10.1007/978-3-030-59595-1_9

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  • DOI: https://doi.org/10.1007/978-3-030-59595-1_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-59594-4

  • Online ISBN: 978-3-030-59595-1

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