Fully Fuzzy Linear Systems in Python Programming
V.Vijayalakshmi1, S. Surabhi2, A.Karpagam3
1Dr. V.Vijayalakshmi*, Department of Mathematics, SRM Valliammai Engineering College(SRM group), Kattankulathur, Chennai, India.
2S. Surabhi, Department of Electronics & Communication Engineering, SRM Valliammai Engineering College(SRM group), Kattankulathur, Chennai, India.
3A.Karpagam, Department of Mathematics, SRM Valliammai Engineering College(SRM group), Kattankulathur, Chennai, India.
Manuscript received on March 29, 2020. | Revised Manuscript received on April 25, 2020. | Manuscript published on April 30, 2020. | PP: 951-956 | Volume-9 Issue-4, April 2020. | Retrieval Number: D7580049420/2020©BEIESP | DOI: 10.35940/ijeat.D7580.049420
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This paper proposes the python coding for ST decomposition for Triangular, Trapezoidal, and computing the algorithms for the fully fuzzy linear system in python programming. where is a fuzzy matrix, are fuzzy vectors. ST decompose into a product of symmetric matrix (S) and triangular matrix (T) in the form of triangular and trapezoidal fuzzy number matrices. To best illustrate the proposed methods by python coding algorithm with a new approach Python coding has been adopted. Algorithms have been introduced and the numerical examples have been solved by using python techniques. A study of ST decomposition have been done and the solution is obtained with different algorithms. New numerical problems are presented and an example has been solved for this algorithms and the solutions are obtained.
Keywords: Fully Fuzzy Linear System of equations, Triangular fuzzy numbers, Trapezoidal Fuzzy numbers, Python Programming.