新产品开发的神经网络方法与模糊理论

Xiaoliang Liu, Xiao Liu
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引用次数: 0

摘要

为了解决QFD的动态性和模糊性,提出了一种基于人工神经网络的动态FQFD方法,该方法利用神经网络方法解决了QFD的动态性问题,同时针对其模糊性引入了梯形模糊数。首先,建立了一种神经网络与FQFD相结合的方法,经过学习和训练,该方法可以快速有效地将客户需求传递给产品设计人员。最后,通过实例验证了该方法在新产品设计过程中的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Neural Network Approach and Fuzzy Theory for a New Product Development
An ANN-based dynamic FQFD method is proposed in order to solve the dynamic and fuzzy nature of QFD, that solves the problem of the dynamic nature by using neural network method, while the introduction of trapezoidal fuzzy number for its ambiguity. Firstly, a combined method with neural networks and FQFD is established, after learning and training, the method can quickly and effectively deliver customer requirements to the products designers. Finally, a case study demonstrates the effectiveness of the proposed method during the course of new products design.
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