在第 2 类中性数集环境中使用 SWARA-MARCOS 对云服务提供商进行排名

Mai Mohamed, Shaimaa Ayman, Rui Yong, Jun Ye
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引用次数: 0

摘要

云计算是一种允许根据特定需求或要求对服务器、网络、存储、应用程序和服务等共享资源进行适当、按需网络访问的模式。云技术发展的主要目标是提高资源的使用率,以最低成本实现资源的可靠性。近年来,云服务提供商(CSP)因其可访问性和可用性,以及出现的云服务提供商(CSP)数量不断增加而越来越受欢迎。对许多公司来说,选择云服务提供商(CSP)已成为一项具有挑战性的决策。本文旨在基于多标准决策(MCDM)方法对一组云服务提供商进行排序。通过将结果与两种成熟方法进行比较,验证了所建议方法的适用性:在 2 型中性数集(T2NNS)环境下,将 SWARA 和 MARCOS 方法用于计算评价标准的重要性并对云提供商的备选方案进行排序,从而验证了建议方法的适用性。还进行了敏感性分析,通过研究标准权重对备选方案排序的影响来检查该模型的稳健性。
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Ranking Cloud Service Providers using SWARA-MARCOS in Type-2 Neutrosophic Number Set Environment
Cloud computing is a model for allowing suitable, on-demand network access to a shared store of resources such as servers, networks, storage, apps, and services, modified according to specific needs or requirements. The main goal of cloud technology development is to increase the use of resources that work together to achieve reliability at the lowest cost. Cloud service providers (CSPs) have gained popularity in recent years due to their accessibility and availability, as well as the growing quantity of cloud service providers (CSPs) that appear. Choosing (CSPs) has grown to be a challenging decision for many companies. The paper aims to rank a set of cloud service providers based on the multi-criteria decision-making (MCDM) method. The suggested method's applicability is verified by comparing the outcomes with two established methodologies: SWARA and MARCOS methods under the type-2 neutrosophic number set (T2NNS) environment to calculate the importance of evaluation criteria and ranking the alternatives of cloud providers. A sensitivity analysis was executed to check the robustness of this model by examining the effect of criteria weights on the ranking of the alternatives.
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