Affiliations: Colleg of Mathematics and Statistics, Northwest Normal University, Lanzhou, China
Correspondence:
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Corresponding author. Zengtai Gong, Colleg of Mathematics and Statistics, Northwest Normal University, Lanzhou 730070, China. Tel.:+86-09317971430. Emails:,[email protected], [email protected].
Note: [1] This work is supported by National Natural Science Foundation of China (Grant Nos. 12061067).
Abstract: In this paper, we focus on generalized fuzzy complex numbers and propose a straightforward matrix method to solve the dual rectangular fuzzy complex matrix equations
C·Z˜+L˜=R·Z˜+W˜
, in which C and R are crisp complex matrices and
Z˜,L˜
and
M˜
are fuzzy complex number matrices. The existing methods for solving fuzzy complex matrix equations involve separately calculating the extended solution and the corresponding parameters of the real and imaginary parts, whereby we obtain the algebraic solution of the equations. By means of the interval arithmetic and embedding approach, the n × n dual rectangular fuzzy complex linear systems could be converted into 2n × 2n fuzzy linear systems, which are also equivalent to the 4n × 4n real linear systems. By directly solving the 4n × 4n real linear systems, the algebraic solutions can be obtained. The general dual rectangular fuzzy complex matrix equations and dual rectangular fuzzy complex linear systems are investigated by the generalized inverses of matrices. Finally, some examples are given to illustrate the effectiveness of method.
