基于TOPSIS的直觉模糊多属性云服务选择

Intuitionistic Fuzzy Multi-attribute Cloud Services Selection Based on TOPSIS

越来越多的云服务为消费者提供了广泛的选择,使云服务选择成为一个具有挑战性的决策问题,这需要使用恰当的决策方法,协助决策者选择最好的服务以满足用户的需求。论文提出一个云服务选择方法,将云服务的服务质量(Quality of Service,QoS)的混合多属性统一转换为直觉模糊数,并引入逼近理想解的排序方法,计算每个云服务的QoS对于直觉模糊矩阵最优方案、最劣方案的距离,然后计算各云服务与直觉模糊最优方案的相对接近度,并依据相对接近度对云服务排序。利用层次分析法确定各用户QoS偏好权重,帮助云服务用户根据需求选择最好的可用服务。最后通过实例验证了该算法。

The growing number of cloud services has made service selection a challenging decision-making problem by offering wide ranging choices for cloud service consumers. This necessitates the use of apprpriate decision making methodol-ogies to assist a decision maker in selecting the service that best fulfills the user,s requirements. In this paper , we present a cloud service selection methodology that introduce intuitionistic fuzzy sets to unified hybrid QoS attributes , and introduce TOPSIS decision-making algorithm to calculate close degree of QoS of cloud service with optimal scheme , and rank cloud service with close degree. Analytic hierarchy process （AHP） is used to determine the user’s QoS weights, this methodology assists the cloud service user to select the best possible available service according to the requiremnts.Finally the algorithm is verified by an example.