@article{MAKHILLJEAS202015419029,
    title = {Web Service Selection Model using a Hybrid Approach},
    journal = {Journal of Engineering and Applied Sciences},
    volume = {15},
    number = {4},
    pages = {948-955},
    year = {2020},
    issn = {1816-949x},
    doi = {jeasci.2020.948.955},
    url = {https://makhillpublications.co/view-article.php?issn=1816-949x&doi=jeasci.2020.948.955},
    author = {Manoj,Sandile Thamie and},
    keywords = {Web services,web services selection,quality of service,multi-criteria decision making,AHP,VIKOR},
    abstract = {Web services have enjoyed rapid acceptance in recent years. The motivating factors for its wide
acceptance is the ease and cost effectiveness in application integration. The utilization of a web services based
application depends not only on meeting its functional requirements but also its non-functional requirements.
As the numbers of web services offering similar functionality and varying degrees of Quality of Service (QoS)
are increasing, service consumers face a dilemma in selecting the most appropriate one from the pool. To
address this issue, this study proposes a model for determining a suitable web service by integrating AHP
(Analytic Hierarchy Process) and VIKOR (Vlsekriterjumskaoptimizacija I Kompromisno Resenje) methods.
Using AHP, the weights assigned to QoS criteria are computed. There after, the ranking of the web services,
according to a user preferred criteria, is obtained using VIKOR method. Finally, in order to demonstrate the
validity of the proposed method, data from the QWS data set are used in a service selection. The results
illustrate that Google search service performed better than other web search services under the selected QoS
requirements.}
    }