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Multicriteria Evaluation of Cloud Service Providers Using Pythagorean Fuzzy TOPSIS

机译:基于勾股模糊TOPSIS的云服务提供商多准则评估

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One of the most dramatic changes in information technology (IT) is the emergence of cloud services. Today, many software companies deliver their applications from a cloud system, which provides a valuable alternative for business buyers. Just like any other IT decision, the selecting proper cloud service provider contains various tangible and intangible criteria, which contain uncertainty and incomplete information. In this paper, selecting cloud service provider problem is modeled as a multi criteria decision-making problem, and a decision model involving seven criteria, 21 sub-criteria and four alternatives is proposed. The evaluations regarding the cloud alternatives are expressed as Pythagorean fuzzy sets. Pythagorean fuzzy sets are an extension of intuitionistic fuzzy sets, in which the sum of membership and non-membership degrees may be larger than one whereas their square sum is at most equal to 1. This provides a larger range for decision makers to assign membership and non-membership degrees to an element of a fuzzy set. Pythagorean fuzzy TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method is used to rank the alternatives. The robustness of the decision model is checked using one-at-a-time sensitivity analysis.
机译:信息技术(IT)最具戏剧性的变化之一是云服务的出现。如今,许多软件公司都通过云系统交付应用程序,这为企业购买者提供了宝贵的选择。就像其他任何IT决策一样,选择合适的云服务提供商也包含各种有形和无形的标准,其中包含不确定性和不完整的信息。本文将选择云服务提供商问题建模为一个多准则决策问题,并提出了包含七个准则,21个子准则和四个备选方案的决策模型。有关云替代方案的评估表示为毕达哥拉斯模糊集。勾股模糊集是直觉模糊集的扩展,其中隶属度和非隶属度的总和可能大于1,而其平方和最多等于1。这为决策者分配隶属度和模糊度提供了更大的范围。模糊集元素的非隶属度。勾股模糊模糊TOPSIS(类似于理想解的顺序偏好技术)方法用于对备选方案进行排名。使用一次敏感性分析来检查决策模型的鲁棒性。

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