摘要
首先定义了模糊关系方程的ε极小解,然后给出了利用模糊神经网络寻找max-min合成有限模糊关系方程的一个ε极小解的算法,证明了算法的收敛性。最后把模糊关系方程的解应用于大学微格课程成绩的评定,并用算例进行了说明。
A method of student grade evaluation of micro-class is introduced in this paper.Firstly,theε-minimal solution of a fuzzy relational equation is defined.Secondly,an algorithm is introduced in order to find oneε-minimal solution from the fuzzy relational equation by using fuzzy neural network and then to determine its convergence.Finally,the solution of fuzzy relational equation is applied to the student grade evaluation and a numerical example is illustrated.
出处
《成都理工大学学报（自然科学版）》
CAS
CSCD
北大核心
2017年第5期631-635,共5页
Journal of Chengdu University of Technology: Science & Technology Edition
基金
国家自然科学基金项目(11171242)
关键词
模糊关系方程
模糊神经网络
ε极小解
算法
微格课程
成绩评定
fuzzy relational equation
fuzzy neural network
ε-minimal solution
algorithm
microclass
evaluation of the student＇s mark
