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Case Study on Key Influencing Factors of Modern Service Industry Development Read chapter Read first chapter

2020 | OriginalPaper | Chapter

A Fuzzy AHP and TOPSIS Approach for Web Service Selection

Authors : Sandile T. Mhlanga, Manoj Lall, Sunday O. Ojo

Published in: Services – SERVICES 2020

Publisher: Springer International Publishing

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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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Metadata
Title
A Fuzzy AHP and TOPSIS Approach for Web Service Selection
Authors
Sandile T. Mhlanga
Manoj Lall
Sunday O. Ojo
Copyright Year
2020
Book
Services – SERVICES 2020

Print ISBN: 978-3-030-59594-4

Electronic ISBN: 978-3-030-59595-1

Copyright Year: 2020

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