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An Approach for Web Service Selection Based on Confidence Level of Decision Maker

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  • Mojtaba Khezrian
  • Ali Jahan
  • Wan Mohd Nasir Wan Kadir
  • Suhaimi Ibrahim

Abstract

Web services today are among the most widely used groups for Service Oriented Architecture (SOA). Service selection is one of the most significant current discussions in SOA, which evaluates discovered services and chooses the best candidate from them. Although a majority of service selection techniques apply Quality of Service (QoS), the behaviour of QoS-based service selection leads to service selection problems in Multi-Criteria Decision Making (MCDM). In the existing works, the confidence level of decision makers is neglected and does not consider their expertise in assessing Web services. In this paper, we employ the VIKOR (VIšekriterijumskoKOmpromisnoRangiranje) method, which is absent in the literature for service selection, but is well-known in other research. We propose a QoS-based approach that deals with service selection by applying VIKOR with improvement of features. This research determines the weights of criteria based on user preference and accounts for the confidence level of decision makers. The proposed approach is illustrated by an example in order to demonstrate and validate the model. The results of this research may facilitate service consumers to attain a more efficient decision when selecting the appropriate service.

Suggested Citation

  • Mojtaba Khezrian & Ali Jahan & Wan Mohd Nasir Wan Kadir & Suhaimi Ibrahim, 2014. "An Approach for Web Service Selection Based on Confidence Level of Decision Maker," PLOS ONE, Public Library of Science, vol. 9(6), pages 1-14, June.
    • Handle: RePEc:plo:pone00:0097831
    DOI: 10.1371/journal.pone.0097831
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    References listed on IDEAS

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    1. Opricovic, Serafim & Tzeng, Gwo-Hshiung, 2004. "Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS," European Journal of Operational Research, Elsevier, vol. 156(2), pages 445-455, July.
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    Cited by:

    1. Hadi Lalghorbani & Ali Jahan, 2022. "Selection of a Wheat Harvester according to Qualitative and Quantitative Criteria," Sustainability, MDPI, vol. 14(3), pages 1-17, January.

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