微格课程成绩评定与模糊关系方程的解  

The students grade evaluation of micro-class and the solution of a fuzzy relational equation

作　　者：李世菊[1] 张倩[2] 

机构地区：[1]四川师范大学美术学院,成都610066 [2]四川师范大学数学与软件科学学院,成都610066

出　　处：《成都理工大学学报（自然科学版）》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)

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.

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 

分 类 号：O159[理学—数学]