Fuzzy linear systems with the two-dimension fuzzy data
被引:2
|
作者:
Xiao, Zhiyong
论文数: 0引用数: 0
h-index: 0
机构:
Northwest Normal Univ, Coll Math & Stat, Lanzhou 730070, Peoples R China
Longdong Univ, Sch Math & Stat, Qingyang, Gansu, Peoples R ChinaNorthwest Normal Univ, Coll Math & Stat, Lanzhou 730070, Peoples R China
Xiao, Zhiyong
[1
,2
]
Gong, Zengtai
论文数: 0引用数: 0
h-index: 0
机构:
Northwest Normal Univ, Coll Math & Stat, Lanzhou 730070, Peoples R ChinaNorthwest Normal Univ, Coll Math & Stat, Lanzhou 730070, Peoples R China
Gong, Zengtai
[1
]
Liu, Kun
论文数: 0引用数: 0
h-index: 0
机构:
Longdong Univ, Sch Math & Stat, Qingyang, Gansu, Peoples R ChinaNorthwest Normal Univ, Coll Math & Stat, Lanzhou 730070, Peoples R China
Liu, Kun
[2
]
机构:
[1] Northwest Normal Univ, Coll Math & Stat, Lanzhou 730070, Peoples R China
[2] Longdong Univ, Sch Math & Stat, Qingyang, Gansu, Peoples R China
Fuzzy numbers;
two-dimension fuzzy numbers;
fuzzy linear system;
fuzzy system of linear equations;
DECOMPOSITION METHOD;
COMPLEX SYSTEM;
EQUATIONS;
D O I:
10.3233/JIFS-191927
中图分类号:
TP18 [人工智能理论];
学科分类号:
081104 ;
0812 ;
0835 ;
1405 ;
摘要:
As a key theoretical basis of fuzzy analysis, a new representation of the two-dimension fuzzy numbers is proposed in this paper. We also present a new method for solving the fuzzy system of linear equations with the two-dimension fuzzy data based on the new representation of the two-dimension fuzzy numbers, which may translate a fuzzy system of linear equations into two real systems of linear equations, one is an n x n real system of linear equations and the other is a (2n) x (2n) real system of linear equations, where the coefficients, the right hand term and the unknown term of the (2n) x (2n) real systems are all positive real numbers. Accordingly, we compare the classical methods with the technique on the basis of the study of the two-dimensional fuzzy linear system proposed in this paper for an one-dimensional fuzzy linear system, and the results shows that they have the same solutions. Finally, the conditions of the existence of the solutions for a fuzzy system of linear equations are discussed, and the examples are given to show the efficiency and effectiveness of the method investigated in this article.