Solving fuzzy system of linear equation using conjugate gradient method
Hui Hoe Haw · 2007
There are uncertainties in transforming real life measurements into numbers. Therefore, fuzzy system of linear equation (FSLE) is getting more and more common to tackle these uncertainties. These linear systems can be solved easily using numerical methods. In this dissertation, the Conjugate Gradient (CG) method is being used to solve rectangular FSLE and to be compared to the classical Gauss- Seidel (GS) and SOR methods. The aspects to be compared are number of iterations, computational time and maximum error between these two methods.