Research on Data Product Quality Evaluation Model Based on AHP and TOPSIS
Yaqing Si, Qingjun Xiao, Jing Su, Sen Zeng, Xiao Hong · Proceedings of the 4th International Conference on Computer Science and Application Engineering · 2020
This paper aims to construct a data product quality evaluation model for the data circulation market. First of all, this paper established an index system for data product quality evaluation by using multiple dimensions and fully considering the characteristics attached to data sets after production. On this basis, this paper divided all the indexes in the system in to two groups: objective indexes and subjective indexes, then designed reasonable quantitative method for each group according to their own features. With the combination of subjective evaluation and objective measurement, the quality level of data products would be shown in the form of numbers, which is more intuitive.