Trusted Cloud Service Selection Algorithm Based on Lightweight Intuitionistic Fuzzy Numbers

Trusted cloud service selection algorithms aim to select the cloud service with the highest satisfaction from many cloud services with the same or similar functions. However, many existing selection algorithms adopt the inaccurate QoS measurement method and subjective weights of QoS attributes, which make it difficult for cloud users to select the trusted cloud service. Therefore, this paper proposes a trusted cloud service selection algorithm based on lightweight intuitionistic fuzzy numbers. Firstly, based on the consideration of precise and imprecise QoS metrics, three kinds of QoS attributes are transformed into lightweight intuitionistic fuzzy numbers in a uniform way, and corresponding weight coefficients are expressed with the calculated standard deviation. Then, the trusted cloud service selection algorithm based on improved TOPSIS is proposed to guide cloud users to choose the cloud service with the highest satisfaction. The accuracy of the proposed algorithm was validated by two cases and the efficiencies of the proposed algorithm and the traditional cloud service ranking algorithm based on triangular fuzzy numbers were compared.