Weight assignment in cloud service selection based on FAHP and rough sets

Cloud computing is becoming the most widely used technology as the next-generation platform for conducting business. Many cloud providers offer the same functionalities, but have different quality of service (QoS) attributes. Thus the selection of cloud services, which meets the user-desired QoS requirements, has become increasingly complex. In this paper, we present a method that integrates both subjective and objective weights for evaluating the cloud services. This method is based on rough set theory and a proposed extended version of Fuzzy Analytic Hierarchy Process (FAHP) and takes into consideration the trust level associated with the experts, whose evaluations are considered in the calculation of subjective weights, and the preferences of the end user.

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Publication Details

Journal
International Journal of Computers and Applications
Published
2024-08-09
DOI
https://doi.org/10.1080/1206212x.2024.2387658
Primary Topic
Rough Sets and Fuzzy Logic
Type
article
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article

Weight assignment in cloud service selection based on FAHP and rough sets

Hela Malouche
International Journal of Computers and Applications
Rough Sets and Fuzzy Logic
article

Weight assignment in cloud service selection based on FAHP and rough sets

Hela Malouche
article en

Abstract

Cloud computing is becoming the most widely used technology as the next-generation platform for conducting business. Many cloud providers offer the same functionalities, but have different quality of service (QoS) attributes. Thus the selection of cloud services, which meets the user-desired QoS requirements, has become increasingly complex. In this paper, we present a method that integrates both subjective and objective weights for evaluating the cloud services. This method is based on rough set theory and a proposed extended version of Fuzzy Analytic Hierarchy Process (FAHP) and takes into consideration the trust level associated with the experts, whose evaluations are considered in the calculation of subjective weights, and the preferences of the end user.

International Journal of Computers and ApplicationsVol. 46(9)
Manouba University (TN)
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Openalex Percentile: Top 84%
Rough Sets and Fuzzy Logic
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