研究一类基于内变换的模糊关系方程的解法。
The fuzzy relation equations based on inner transformation a re discussed.
FCM—I大大简化了用模糊关系方程为多变量系统建模的复杂性。
With FCM- I , the complexity of using fuzzy relational equation in modelling multivariable systems is greatly reduced.
作为模糊评判的逆问题，模糊关系方程是模糊多元分析中的一个新的重要分支。
As an inverse problem of fuzzy diagnosis, fuzzy relation equation is a new and important branch in fuzzy multivariate analysis.
其中在多重模糊推理神经网络中，通过求解模糊关系方程的方法来确定网络的权值。
In the neural network corresponding to multidimensional fuzzy inference, the weights are adjusted by means of solution to fuzzy relation equation.
模糊关系方程的求解问题是模糊集与系统中极其重要的研究课题之一，大部分模糊推理系统都可以通过模糊关系方程实现。
The resolution problem of fuzzy relation equations (FRES) is a very important subject in fuzzy sets and systems, the majority of fuzzy inference systems can be implemented by using FERS.
该模型利用人们处理复杂问题的逻辑思维方式，通过评价空间和单位评价空间的映射，建立模糊关系方程并将其转化为优化问题得到权重。
Complying with the logical thought model in which people usually deal with complicated problems, fuzzy mapping between evaluation space and identity evaluation space was established.
该模型利用人们处理复杂问题的逻辑思维方式，通过评价空间和单位评价空间的映射，建立模糊关系方程并将其转化为优化问题得到权重。
Complying with the logical thought model in which people usually deal with complicated problems, fuzzy mapping between evaluation space and identity evaluation space was established.
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