An Algorithm for a Positive Solution of Arbitrary Fully Fuzzy Linear System

Author:

Malkaw G.,Ahmad N.,Ibrahim H.

Publisher

Springer Science and Business Media LLC

Subject

Computational Mathematics

Reference42 articles.

1. S. Abbasbandy and M. S. Hashemi, “Solving fully fuzzy linear systems by using implicit Gauss–Cholesky algorithm,” Comput. Math. Model., 23, No. 1, 107–123 (2012).

2. T. Allahviranloo and N. Mikaeilvand, “Fully Fuzzy Linear Systems Solving Using MOLP,” World Appl. Sci. J., 12, No. 12, 2268–2273 (2011).

3. T. Allahviranloo and N. Mikaeilvand, “Nonzero solutions of the fully fuzzy linear systems,” Appl. Comput. Math., 10, No. 2, 271–282 (2011).

4. T. Allahviranloo, E. Haghi, and M. Ghanbari, “The nearest symmetric fuzzy solution for a symmetric fuzzy linear system,” An. St. Univ. Ovidius Constanta, 20, 151–172 (2012).

5. N. Babbar, A. Kumar, and A. Bansal, “Solving fully fuzzy linear system with arbitrary triangular fuzzy numbers (m, α, β),” Soft Comput, 17, No. 4, 691–702 (2013).

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