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Solution of a fuzzy system of linear equation. (English) Zbl 1095.65036

The \(n\times n\) fuzzy system of linear equations (FSLE) has been first studied by M. Friedman, M. Ma and A. Kandel [Fuzzy Sets Syst. 96, No. 1, 201–209 (1998); comment and reply ibid. 140, 559–561 (2003; Zbl 0929.15004)]. In the paper under review, the general \(m\times n\) FSLE is considered, and its weak solution is expressed by the generalized inverse of the coefficient matrix. Conditions for the existence of a fuzzy solution are derived and a numerical procedure for calculating the solution is designed. In case \(m> n\) the least-squares solution is found by applying an orthogonal matrix to the coefficient matrix.

MSC:

65F20 Numerical solutions to overdetermined systems, pseudoinverses

Citations:

Zbl 0929.15004
Full Text: DOI

References:

[1] Friedman, M.; Ming, M.; Kandel, A., Fuzzy linear systems, Fuzzy Sets Syst., 96, 201-209 (1998) · Zbl 0929.15004
[2] Allahviranloo, T., Numerical methods for fuzzy system of linear equations, Appl. Math. Comput., 155, 493-502 (2004) · Zbl 1067.65040
[3] Allahviranloo, T., Successive over relaxation iterative method for fuzzy system of linear equation, Appl. Math. Comput., 162, 189-196 (2005) · Zbl 1062.65037
[4] Allahviranloo, T., The adomian decomposition method for fuzzy system of linear equations, Appl. Math. Comput., 163, 553-563 (2005) · Zbl 1069.65025
[5] Allahviranloo, T., A comment on fuzzy linear systems, Fuzzy Sets Syst., 140, 554 (2003) · Zbl 1050.15003
[6] D.R. Kincaid, E.W., Cheney, Numerical analysis mathematics of scientific computing, 1991.; D.R. Kincaid, E.W., Cheney, Numerical analysis mathematics of scientific computing, 1991. · Zbl 0745.65001
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