Abstract
A linear system of equations is called a fully fuzzy linear system (FFLS) if all the quantities of this system are fuzzy numbers. We consider the positive solution of FFLS, where the modal value (center) matrix is positive definite and we develop a new approximate procedure based on preconditioning. We observe from the numerical results that our method is more accurate than the iterative Jacobi, Gauss-Seidel and Successive Over-Relaxation (SOR) methods when finding approximate solutions of FFLS.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
