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Allahviranloo, T.; Salahshour, S.; Khezerloo, M.

Maximal- and minimal symmetric solutions of fully fuzzy linear systems. (English) Zbl 1220.65033

J. Comput. Appl. Math. 235, No. 16, 4652-4662 (2011).
Summary: We propose a new method to obtain symmetric solutions of a fully fuzzy linear system (FFLS) based on a 1-cut expansion. To this end, we solve the 1-cut of a FFLS (in the present paper, we assumed that the 1-cut of a FFLS is a crisp linear system or equivalently, the matrix coefficient and right hand side have triangular shapes), then some unknown symmetric spreads are allocated to each row of a 1-cut of a FFLS. So, after some manipulations, the original FFLS is transformed to solving \(2n\) linear equations to find the symmetric spreads.
However, our method always give us a fuzzy number vector solution. Moreover, using the proposed method leads to determining the maximal- and minimal symmetric solutions of the FFLS which are placed in a tolerable solution set and a controllable solution set, respectively. However, the obtained solutions could be interpreted as bounded symmetric solutions of the FFLS which are useful for a large number of multiplications existing between two fuzzy numbers. Finally, some numerical examples are given to illustrate the ability of the proposed method.

Cited in 1 Review
Cited in 25 Documents

MSC:

65F05 Direct numerical methods for linear systems and matrix inversion
15B15 Fuzzy matrices
65C30 Numerical solutions to stochastic differential and integral equations

Keywords:

fully fuzzy linear system; maximal symmetric solution; minimal symmetric solution; unites solution set; tolerable solution set; controllable solution set; crisp linear system; fuzzy number vector solution; bounded symmetric solutions; numerical examples

Software:

INTOPT_90
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\textit{T. Allahviranloo} et al., J. Comput. Appl. Math. 235, No. 16, 4652--4662 (2011; Zbl 1220.65033)
Full Text: DOI

References:

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