QoS evaluation method for manufacturing cloud services combining with intuitionistic fuzzy and grey theory

Abstract

In order to enable users to quickly make a reasonable choice from a large number of manufacturing cloud services with similar functions, on the basis of diversity of the evaluation indicators and the uncertainty of evaluation information, the evaluation method of manufacturing cloud services was proposed in conjunction with grey theory. Firstly, the QoS evaluation model of manufacturing cloud service was constructed and described. Secondly, evaluation structure was established, and the non-quantitative indicator was also defined by intuitionistic fuzzy number. Furthermore, the manufacturing cloud service ranking method based on intuitionistic fuzzy and grey theory was designed. With constructing intuitionistic fuzzy comprehensive matrix and obtaining optimal attribute matrix, the grey correlation coefficients between evaluation attributes and the optimal service attributes were solved for each manufacturing cloud service, and then the correlation degree was determined so as to provide a ranking reference for users. The experimental results show that: Then the proposed algorithm changes with the attribute weight value, and the ranking results of the candidate services also change, indicating that the algorithm has a certain flexibility. Finally, the service quality of the candidate manufacturing cloud service was compared with the proposed algorithm and the intuitive fuzzy TOPSIS method and the entropy right TOPSIS method. The closeness of the proposed algorithm is all greater than the comparison algorithm, which is improved by about 12% compared with the intuitive fuzzy TOPSIS method and about 44% compared with the entropy right TOPSIS method, which verifies its rationality and practicability.

Keywords

• cloud manufacturing
• cloud services
• qos
• fuzzy intuition
• grey correlation