1) LR fuzzy number
LR模糊数
1.
By employing Dubois and Prade s approximate arithmetic operators on LR fuzzy numbers and the generalized inverse matrix A■,A+,a method for solving a generalized fuzzy linear system =is given.
借助于Dubois和Prade所定义的LR模糊数的近似乘法算子,运用广义逆矩阵A■,A+,讨论了广义完全模糊线性系统=的解。
2.
The fuzzy approximate solution of the dual fully fuzzy linear system(DFFLS)M~+=N~+b~ was discussed,where M~,N~ and ,,b~ being n×n fuzzy square matrix and n-dimension fuzzy vector,composed of LR fuzzy number respectively.
讨论对偶完全模糊线性系统(DFFLS)~M~x+~a=~N~x+b~(其中~M、~N是由LR模糊数组成的n×n型模糊方阵,~x~、a、b~是由LR模糊数组成的n维模糊向量)的模糊近似解,给出其模糊近似解的直接算法和Cramer规则算法,并通过具体算例验证两种算法的可行性。
2) LR-fuzzy number
LR-模糊数
3) LR-type Fuzzy Number
LR-型模糊数
4) LR pattern fuzzy number
LR型模糊数
5) Generalized LR-fuzzy Numbers
广义LR-模糊数
6) LR fuzzy variable
LR型模糊变量
1.
Based on the theory of credibility,how to calculate the expected LR fuzzy variable is studied,its simple formula is given and the optimal inventory policy of EOQ model with fuzzy discount is determined by using the LR fuzzy variable expectations.
基于可信性理论,研究了LR型模糊变量期望值计算问题,并给出了简便的计算公式;利用LR型模糊变量期望值,确定了模糊价格折扣的EOQ模型的最优存储策略。
补充资料：数不胜数
1.数也数不清。形容很多。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
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