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Issue:Resolution of a system of the max-min product intuitionistic fuzzy relation equations using LU-factorization

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Title of paper: Resolution of a system of the max-min product intuitionistic fuzzy relation equations using LU-factorization
Author(s):
S. Melliani
LMACS – Laboratoire de Mathematiques Appliqu ´ ees & Calcul Scientifique Sultan Moulay Slimane University, PO Box 523, 23000 Beni Mellal, Morocco
melliani@fstbm.ac.ma
M. Elomari
LMACS – Laboratoire de Mathematiques Appliqu ´ ees & Calcul Scientifique Sultan Moulay Slimane University, PO Box 523, 23000 Beni Mellal, Morocco
L. S. Chadli
LMACS – Laboratoire de Mathematiques Appliqu ´ ees & Calcul Scientifique Sultan Moulay Slimane University, PO Box 523, 23000 Beni Mellal, Morocco
R. Ettoussi
LMACS – Laboratoire de Mathematiques Appliqu ´ ees & Calcul Scientifique Sultan Moulay Slimane University, PO Box 523, 23000 Beni Mellal, Morocco
Published in: Notes on Intuitionistic Fuzzy Sets, Volume 20 (2014), Number 5, pages 36–49
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Abstract: In this paper, the LU-factorization is extended to the intuitionistic fuzzy square matrix with respect to the max-min product composition operator. Initially The algorithms are given to find two intuitionistic fuzzy (lower and upper) triangular matrices L and U for an intuitionistic fuzzy square matrix A such A = LU and a result for the existence and uniqueness of this decomposition. An algorithm is also proposed to find the solution set of a square system of Intuitionistic Fuzzy Relation Equations (IFRE) using the LU-factorization. Finally an example is given to illustrate our work.
Keywords: Intuitionistic fuzzy sets, Intuitionistic fuzzy relation equation, Intuitionistic fuzzy matrix, Max-min product operator, LU-factorization, Intuitionistic fuzzy number.
AMS Classification: 03E72, 08A72.
References:
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  4. Molai, A. A. Resolution of a system of the max-product fuzzy relation equations using L ◦ U-factorization, Information Sciences, Vol. 234, 2013, 86–96.
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  7. Pradhan, R., M. Pal, Solvability of system of intuitionistic fuzzy linear equations, International Journal of Fuzzy Logic Systems (IJFLS), Vol. 4, 2014, No. 3, 13–24
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