提出了一个基于模糊集理论的新的神经网络结构及其学习算法。
This paper presents a novel neural network architecture based on fuzzy set theory, FIBP.
采用模糊集理论建立了适应度函数，并对装配序列进行评价和优化。
Then, fitness function was built according to fuzzy set theory and assembly sequence was evaluated and optimized.
提出了一种新的有效的图像阈值分割算法。本算法将小波理论，模糊集理论和信息论三者有机的结合起来。
A new effective image segmentation algorithm Based on Wavelet Operator is presented, which is tied tightly in Wavelet analysis with Fuzzy, information theory.
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