本文通过对模糊灰色理论的研究，利用模糊灰色理论方法对人脸图像进行识别，可以减少所需原始数据，保证并提高识别精度。
This paper researched on the fuzzy and gray theory, recognized facial image by fuzzy and gray method, which can reduce original data and guarantee and improve the precision.
将模糊数学、神经网络方法及灰色系统理论有机地结合起来，应用于金山金矿采矿方法选择中是一次新的尝试。
The combined use of fuzzy mathematics, neural net method and gray system theory in the selection of mining method for Jinshan gold mine was a new trial.
本文分析了原有的DGA故障诊断方法，包括三比值法、人工神经网络法、模糊理论、变压器诊断专家系统、灰色关联算法等。
The article analyses original methods of DGA fault diagnose, include three-ratio method, artificial neural network method, Fuzzy Theory, diagnosing expert system, grey relational algorithm, et.
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