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Visualized performance evaluation of 3D CAD software based on the characterization of test data by cloud model

The performance of 3D CAD software is usually evaluated based on a lot of test data. However, the complex uncertainties intrinsic in the test data has not been investigated so far, the influence of which on the reliability of performance evaluation result has not been considered either. To address the problem, this paper analyses the complex uncertainties in test data and proposes a visualized evaluating method for the performance of 3D CAD software based on the characterization of test data by cloud model. First, the initial weight of each performance index is determined by analytic hierarchy process (AHP) and the test data are standardized. Then the standardized test data are input into the backward cloud generator to calculate the digital characteristics of the cloud model for each performance index, based on which the reliability of each performance index is calculated and the corresponding weight is adjusted accordingly. Finally, the overall performance of 3D CAD software is scored by AHP and the reliability of the evaluation result is also rated. An analytic hierarchy diagram is produced for illustrating the whole evaluating process and the cloud map of the overall performance is generated by the forward cloud generator to provide the intuitive and reliable evaluation process and result for users.