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Customer involvement become more and more important in product design and the most important problem is how to turn the customer demands into design knowledge, which makes the customer demands segmentation a hot topic in academic. A method for customer demands segmentation based on fuzzy clustering and trigonometric functions was proposed. Firstly, a customer-classified framework based on fuzzy clustering...
In order to solve the difficulty - how to choose elements of product performance and price - and the distortion problem caused by the multi-variable correlation, this paper proposes a optimized model of product customer satisfaction (PCS) based on genetic algorithms and partial least squares. The model not only solves the distortion problem due to multicollinearity, but also provides multiple models...
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