Refined Generalized Iterative Methods in Solving Fuzzy Linear Systems
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Abstract
In this paper refined generalized numerical algorithms for solving systems of linear equations whose coefficient matrices are M-matrices are extended for solving FuzzyLinear Systems (FLS)such as Refined Generalized Jacobi (RGJ), and Refined Generalized Gauss-Seidel (RGGS) iteration methods. The embedding approach and splitting strategy of the M-matrix together with the refinement process have been employed in the development of these methods. The presented algorithms are tested and compared with a similar work by solving a numerical example and the results showed that the present methods perform better
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How to Cite
Gebregiorgis, S., & Gofe, G. (1). Refined Generalized Iterative Methods in Solving Fuzzy Linear Systems. Ethiopian Journal of Education and Sciences, 13(2), 73-81. Retrieved from https://journals.ju.edu.et/index.php/ejes/article/view/662
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Original Article
Ethiopian Journal of Education and Sciences. All rights reserved.