Abstract: A new method was proposed for data mining problem which integrated intuitionistic fuzzy set and neural network theory. This article solved the data mining problem with the method of adaptive intuitionistic fuzzy inference. This method can adjust network variables by use of intuitionistic neural networks adaptive learning function, and generate rules bank automatically. Finally, this method was validated by simulation.

Key words: intuitionistic fuzzy inference, neural network, adaptive, train, rule

摘要： 针对数据挖掘问题，将直觉模糊集与神经网络理论相结合，提出一种新的方法。用自适应直觉模糊推理的方法来解决数据挖掘问题，该方法可以根据直觉模糊神经网络本身的自适应学习能力来调节网络参数，自动生成规则库。最后通过一个仿真实例证明了该方法的有效性。

关键词: 直觉模糊推理, 神经网络, 自适应, 训练, 规则