The Evaluation Method for Augmented Reality Transformer under the Fusion Sets Pair Analysis and Generalized Evidence Theory
Shuangbai He, Junfeng Li, Xiao Liu, Weixia Feng, Manhua Wen, Xiaoying Li · 2017
Augmented reality technology is to integrate computer-generated three-dimensional virtual objects seamlessly with objects in real situations, thus providing a complementary and visual enhancement to the real world.In this paper, we set up a set of transformer evaluation index based on augmented reality.By comparing the calculation of the support and confidence of association rules, and at the same time the introduction of variable weight formula, get the weight coefficient of each evaluation index, effectively avoid the subjectivity of expert advice or experience; Based on the extensibility of the set pair analysis, the accuracy of the uncertainty factor of the transformer evaluation of the augmented reality is improved by using the 4-element relationship.But given the evaluation process is a series of uncertain factors, and generalized evidence theory fusion set pair analysis is presented of the augmented reality transformer evaluation methods, will be set after dealing with the true function of the results of analysis as the initial probability distribution of generalized evidence theory, the final step by step, to get the final result.Compared with the set analysis method, the augmented reality transformer evaluation method based on the generalized evidence theory has a good evaluation effect.But considering the uncertain factors during the evaluation process, and generalized evidence theory fusion set pair analysis is presented of the augmented reality transformer evaluation methods, will be set after dealing with the true function of the results of analysis as the initial probability distribution of generalized evidence theory, the final step by step, to get the final result.The comparative analysis shows, compared with the set analysis method, the augmented reality transformer evaluation method based on the generalized evidence theory has a good evaluation effect.