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中文摘要：
为科学地预测协同产品创新过程中客户的知识共享绩效,提出了基于减聚类-模糊神经网络的客户知识共享绩效预测模型,构建了协同创新环境下的客户知识共享绩效评价指标体系;运用模糊减聚类法对网络规则进行了处理,减少了神经网络规则的数目,以免参数膨胀导致网络难以训练。最后,通过算例验证了该模型的可行性和有效性。
英文摘要：
To predict the customer knowledge-sharing performance in the process of customer collaborative product innovation,based on subtractive clustering and Fuzzy Neural Network,an customer knowledge-Sharing Performance prediction model was proposed in this paper.Firstly,the index system of performance evaluation was constructed.Secondly,fuzzy subtractive clustering was utilized to simplify the rules and reduce the parameters of fuzzy neural network.Furthermore,particle swarm optimization algorithm and genetic algorithm were used to decide the parameters＇ values of fuzzy neural network.Based on the model,the synthetic evaluation values of individuals were got.Finally,an example was given to validate the feasibility and effectiveness of the model.
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