Journal of applied mathematics & informatics

The Korean Society for Computational and Applied Mathematics (한국전산응용수학회)
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BLOCK ITERATIVE METHODS FOR FUZZY LINEAR SYSTEMS

  • Wang, Ke (School of Mathematics and Statistics, Lanzhou University) ;
  • Zheng, Bing (School of Mathematics and Statistics, Lanzhou University)
  • Published : 2007.09.30

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Abstract

Block Jacobi and Gauss-Seidel iterative methods are studied for solving $n{\times}n$ fuzzy linear systems. A new splitting method is considered as well. These methods are accompanied with some convergence theorems. Numerical examples are presented to illustrate the theory.

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