1) Generalized LR-fuzzy Numbers
广义LR-模糊数
2) 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。
3) LR-fuzzy number
LR-模糊数
4) LR-type Fuzzy Number
LR-型模糊数
5) LR pattern fuzzy number
LR型模糊数
6) generalized fuzzy number
广义模糊数
1.
Center of gravity (COG) of generalized fuzzy numbers is calculated with simple center of gravity method (SCGM) and a new fuzzy risk analysis method based on similarity measures of generalized fuzzy numbers is proposed, which considers the confidence level of ideas from decision makers and uncertain risk influence factors.
以"单重心方法"计算了广义模糊数的重心点,提出了一种新的基于广义模糊数相似测度的模糊风险分析方法,并考虑了决策者意见的可信度和各种不确定的风险影响因素。
补充资料：广义
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