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- W4386182339 abstract "Specification considered in designing vehicles plays an important role in determining the driving satisfaction along with the performance of a new vehicle. Therefore, the layout and customer evaluations of existing vehicles should be analyzed in the initial architecture design phase and reflected in the package concept validation. In this study, we propose a framework to predict satisfaction and extract keywords for new vehicles using specifications and driving evaluation data of existing vehicles. The proposed framework consists of three modules: predicting item-level impact on evaluation scores of Consumer Report, predicting satisfaction for input specifications based on similar vehicles" @default.
- W4386182339 created "2023-08-26" @default.
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- W4386182339 date "2023-08-15" @default.
- W4386182339 modified "2023-09-26" @default.
- W4386182339 title "Development of a Framework for Road Test Score Prediction and Significant Keywords Extraction based on Vehicle Specification Data" @default.
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- W4386182339 doi "https://doi.org/10.7232/jkiie.2023.49.4.319" @default.
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