Matrix analysis
Solving systems of linear fuzzy equations
Fuzzy Sets and Systems
Embedding problem of fuzzy number space: Part I
Fuzzy Sets and Systems
Solving fuzzy equations in economics and finance
Fuzzy Sets and Systems
Fuzzy Sets and Systems
Applied numerical linear algebra
Applied numerical linear algebra
Fuzzy Sets and Systems
Perturbation techniques for fuzzy matrix equations
Fuzzy Sets and Systems
Duality in fuzzy linear systems
Fuzzy Sets and Systems
On fuzzy n-cell numbers and n-dimension fuzzy vectors
Fuzzy Sets and Systems
Information Sciences: an International Journal
Solving systems of linear fuzzy equations by parametric functions---An improved algorithm
Fuzzy Sets and Systems
Solution of non-linear fuzzy systems by decomposition of incremental fuzzy numbers
Information Sciences: an International Journal
Information Sciences: an International Journal
Taylor series approach to fuzzy multiobjective linear fractional programming
Information Sciences: an International Journal
Systems of fuzzy equations in structural mechanics
Journal of Computational and Applied Mathematics
Perturbation analysis for a class of fuzzy linear systems
Journal of Computational and Applied Mathematics
Mean-square data-based controller for nonlinear polynomial systems with multiplicative noise
Information Sciences: an International Journal
Resolution of a system of fuzzy polynomial equations using the Gröbner basis
Information Sciences: an International Journal
Approximate solution of dual fuzzy matrix equations
Information Sciences: an International Journal
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This paper deals with the perturbation analysis of fuzzy linear systems. Three cases of perturbation are considered: (a) the right hand side is perturbed while the coefficient matrix remains unchanged; (b) the coefficient matrix is perturbed while the right hand side remains unchanged, and (c) both the coefficient matrix and the right hand side are perturbed. For all of the three cases, the respective relative error bounds for solutions of fuzzy linear system are derived. The results are illustrated by numerical examples.