Paper
28 July 2022 Visualized performance evaluation of 3D CAD software based on the characterization of test data by cloud model
Jin Cheng, Hao Lv, Rong Wang, Jianrong Tan
Author Affiliations +
Proceedings Volume 12303, International Conference on Cloud Computing, Internet of Things, and Computer Applications (CICA 2022); 123030U (2022) https://doi.org/10.1117/12.2642070
Event: International Conference on Cloud Computing, Internet of Things, and Computer Applications, 2022, Luoyang, China
Abstract
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.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jin Cheng, Hao Lv, Rong Wang, and Jianrong Tan "Visualized performance evaluation of 3D CAD software based on the characterization of test data by cloud model", Proc. SPIE 12303, International Conference on Cloud Computing, Internet of Things, and Computer Applications (CICA 2022), 123030U (28 July 2022); https://doi.org/10.1117/12.2642070
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KEYWORDS
Clouds

3D modeling

Computer aided design

Data modeling

Reliability

Solid modeling

Visualization

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