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    Toward a More Accurate Web Service Selection Using Modified Interval DEA Models with Undesirable Outputs

    Alireza Poordavoodi1, Mohammad Reza Moazami Goudarzi2,*, Hamid Haj Seyyed Javadi3, Amir Masoud Rahmani4, Mohammad Izadikhah5

    CMES-Computer Modeling in Engineering & Sciences, Vol.123, No.2, pp. 525-570, 2020, DOI:10.32604/cmes.2020.08854

    Abstract With the growing number of Web services on the internet, there is a challenge to select the best Web service which can offer more quality-of-service (QoS) values at the lowest price. Another challenge is the uncertainty of QoS values over time due to the unpredictable nature of the internet. In this paper, we modify the interval data envelopment analysis (DEA) models [Wang, Greatbanks and Yang (2005)] for QoS-aware Web service selection considering the uncertainty of QoS attributes in the presence of desirable and undesirable factors. We conduct a set of experiments using a synthesized dataset… More >

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