Fusion of Cognitive Information: Evaluation and Evolution Method of Product Image Form

In order to realize the stability and inheritance of image characteristics in the development process of a series of products, we comprehensively analyzed the cognitive differences among users, designers, and engineers and propose a multicriteria decision system for an intelligent design method of p...

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Bibliographic Details
Published in:Computational intelligence and neuroscience 2021, Vol.2021 (1), p.5524093-5524093
Main Authors: Zhang, Shutao, Su, Pengfei, Liu, Shifeng
Format: Article
Language:English
Subjects:
Aesthetics
Algorithms
Cognition
Cognition & reasoning
Cognitive ability
Decision making
Engineers
Entropy
Evaluation
Gene mapping
Genetic algorithms
Genetic research
Headlights
Heredity
Humans
Methods
Multiple criterion
Object recognition
Regression analysis
Regression models
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Summary:In order to realize the stability and inheritance of image characteristics in the development process of a series of products, we comprehensively analyzed the cognitive differences among users, designers, and engineers and propose a multicriteria decision system for an intelligent design method of product forms based on a logistic regression model, relative entropy theory, and preference mapping (PREFMAP). First, from the perspective of the role characteristics of the design subjects, an equilibrium evaluation model was constructed using the logistic regression model and relative entropy theory. Second, combining the multidimensional perception space and the characteristics measurement of the product form, the fitness function of the image form was constructed based on PREFMAP. Third, a genetic algorithm was applied to establish the intelligent image-style-oriented design method, which could guide the image form development of a product series through innovative design. Lastly, the method was verified by taking Audi A4L series headlights as an example. And the image evaluation of the two new schemes was greater than that of the previous seven generations of headlights. The results verify the effectiveness and feasibility of the method. In this paper, we structured a relatively preliminary model to explain the fusion of cognitive information. More subjective and objective factors, algorithms, and image recognition technology need to be further studied to improve the model in our future work.
ISSN:1687-5265
1687-5273
DOI:10.1155/2021/5524093