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(SERVICES 2020) A Fuzzy AHP and TOPSIS Approach for Web Service Selection

About This Webinar

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.

Authors: Sandile T Mhlanga, Manoj Lall and Ojo Sunday (Tshwane University of Technology, South Africa)

Email: mhlangast@tut.ac.za, LallM@tut.ac.za, OjoSO@tut.ac.za

Who can view: Everyone
Webinar Price: Free
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Building the Modern Services Industry
Sandile Thamie Mhlanga, Lecturer of Computer Science, Tshwane University of Technology
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