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Vol.9, No.2, May 2020. ISSN: 2217-8309 eISSN: 2217-8333
TEM Journal
TECHNOLOGY, EDUCATION, MANAGEMENT, INFORMATICS Association for Information Communication Technology Education and Science |
Cloud Service Selection as a Fuzzy Multi-criteria Problem
Galina Ilieva, Tania Yankova, Vera Hadjieva, Rositsa Doneva, George Totkov
© 2020 Galina Ilieva, published by UIKTEN. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. (CC BY-NC-ND 4.0)
Citation Information: TEM Journal. Volume 9, Issue 2, Pages 484-495, ISSN 2217-8309, DOI: 10.18421/TEM92-09, May 2020.
Received: 04 February 2020. Revised: 19 March 2020.
Abstract:
Cloud adoption is an attractive technological innovation due to the capital cost reduction and fast quality improvements it provides. In this paper, we present a new fuzzy methodology for cloud service selection. Product features and functionalities, customer support, customer rating, and security options are just a few of the factors influencing cloud platforms evaluation. A practical example for ordering cloud storage systems is calculated by using fuzzy measurement of alternatives and ranking according to the compromise solution (MARCOS) method. After establishing the relevant indicators for cloud technologies’ assessment and their relative weights, crisp values and linguistic terms are transformed into triangular fuzzy numbers and then multi-criteria analysis is employed. The obtained ranking helps managers make an informed and wellgrounded decision for cloud platform selection.
Keywords –Digital transformation, Cloud service ranking, Big Data, Multi-criteria decision-making, Fuzzy sets. |
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