基于模糊逻辑和决策树的汽车漆膜质量评价模型
首发时间:2011-04-21
摘要:在汽车行业,对于高光泽度的汽车漆膜表面,它的质量好坏主要是从光泽度,雾影,桔皮三个方面进行评价,然后再综合三项指标,给出总体评价。为了使总体评价结果更接近于人眼视觉效果,文章提出一种通过模糊逻辑的方法来综合光泽度、清晰度和桔皮三项质量指标的评分,根据使用传统的评价方法对标准板测试所得数据作为训练集,建立Mamdani模糊推理系统模型,并建立决策树,对高光泽度漆膜表面进行评价。最后实验结果表明,应用模糊逻辑得到的打分更接近于人眼的视觉效果。
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Quality Evaluation Model of Car Surface Based on Fuzzy Logic and Decision Tree
Abstract:In the automotive industry, the quality of high gloss surface is evaluated by the general score of gloss, Haze and Orange peel. In order to make the results closer to human visual effects, the article presents a new method to integrated the scores of gloss, Haze and Orange peel based on fuzzy logic, it set up Mamdani fuzzy inference system model based on the stardard data, set up decision tree, and make evaluation of the car surface. Experimental results show that the evaluation based on fuzzy logic get closer to the human eye's visual effects.
Keywords: Computer Applications Fuzzy Logic Car Surface Decision Tree
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No.4421563436520130****
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