Splitting iterative methods for fuzzy system of linear equations |
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Authors: | Jun-Feng Yin Ke Wang |
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Institution: | (1) Department of Mathematics, Tongji University, Shanghai, P.R. China;(2) Department of Mathematics, College of Sciences, Shanghai University, Shanghai, P.R. China |
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Abstract: | A class of splitting iterative methods is considered for solving fuzzy system of linear equations, which cover Jacobi, Gauss–Seidel,
SOR, SSOR, and their block variants proposed by others before. We give a convergence theorem for a regular splitting, where
the corresponding iterative methods converge to the strong fuzzy solution for any initial vector and fuzzy right-hand vector.
Two schemes of splitting are given to illustrate the theorem. Numerical experiments further show the efficiency of the splitting
iterative methods. |
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Keywords: | |
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