The work aims to study the formal aesthetic consistency of car body and wheel matching. An "aesthetic matching threshold method" was proposed. Taking the SUV model as an example, the clustering analysis of sample A was carried out by a k-means clustering algorithm to find out the cluster of typical samples in dealing with the cognitive consistency problem of model A and wheel type B. The morphological analysis of part B of the cluster was carried out to find out the typical characteristics of the influential design factors of part B. Based on the corresponding analysis, through the perceptual experiment, the design features were analyzed to find out the AB matching range. Through the experiment, six influential wheel hub design feature ranges were obtained, and the perceptual score range that reflected the SUV model and the hub matching was obtained by the perceptual experiment. In this range, model A and hub B were more harmonious regarding the visual aesthetics of matching. The proposed best aesthetic matching threshold method can be used to study the matching relationship between complicatedly combined products and their matching quality to help designers, businesses or individuals find suitable solutions.

Liu Yang, Teng Jian, Zhou Jingjing. Overall Cognitive Consistency of Complex Combination Form. Academic Journal of Computing & Information Science (2022), Vol. 5, Issue 5: 75-82. https://doi.org/10.25236/AJCIS.2022.050510.

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