Cloud Service Selection as a Fuzzy Multi-criteria Problem

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.

Improving a method for selecting information technology services

“…According to [14], the precedent implies a structured representation of gained experience in the form of data and knowledge, which ensures its subsequent processing using specialized IS. This model is generally a tuple in the following form: , , , , ,…”

“…It is necessary to highlight modern research aimed at solving the problems of search, selection, and composition of services in a cloud environment. Thus, for example, article [14] proposed the new fuzzy methodology for selecting services in the cloud environment. This methodology takes into consideration product characteristics and functionality, customer support and rating, safety parameters, and other factors.…”

“…This methodology takes into consideration product characteristics and functionality, customer support and rating, safety parameters, and other factors. However, the solution proposed in [14] makes it possible to substantiate the choice only of a cloud platform as a whole rather than of separate services. Most of the research focuses on solving the problem of choosing the services in the cloud environment solely based on non-functional requirements and quality characteristics.…”

Picture Fuzzy MCDM Approach for Risk Assessment of Railway Infrastructure

“…Badi and Pamucar [58] coupled the grey direct rating and MARCOS methods to evaluate suppliers for the iron and steel industry. Ilieva et al [59] utilized the fuzzy MARCOS method to order cloud storage systems. Chakraborty et al [60] ranked suppliers for the iron and steel industry based on D numbers and the MARCOS method.…”

MARCOS technique under intuitionistic fuzzy environment for determining the COVID-19 pandemic performance of insurance companies in terms of healthcare services

“…A consensus ranking is then realized concerning ideal and non-ideal solutions. Although the MARCOS method is relatively new, many papers have been performed about it [13] , [14] , [15] , [16] , [17] . Intuitionistic fuzzy sets (IFSs) have also been performed successfully in real-world problems to employ inconsistent, vague, ambiguous, and incomplete information.…”