Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/6085
Title: A Geometric Approach to Solve Fuzzy Linear Systems
Authors: Gasilov, Nizami
Amrahov, Şahin Emrah
Fatullayev, Afet Golayoğlu
Karakas, Halil İbrahim
Akın, Ömer
Keywords: Fuzzy linear system
triangular fuzzy number
generalized permutation matrix
Issue Date: 2011
Publisher: Tech Science Press
Abstract: In this paper, linear systems with a crisp real coefficient matrix and with a vector of fuzzy triangular numbers on the right-hand side are studied. A new method, which is based on the geometric representations of linear transformations, is proposed to find solutions. The method uses the fact that a vector of fuzzy triangular numbers forms a rectangular prism in n-dimensional space and that the image of a parallelepiped is also a parallelepiped under a linear transformation. The suggested method clarifies why in general case different approaches do not generate solutions as fuzzy numbers. It is geometrically proved that if the coefficient matrix is a generalized permutation matrix, then the solution of a fuzzy linear system (FLS) is a vector of fuzzy numbers irrespective of the vector on the right-hand side. The most important difference between this and previous papers on FLS is that the solution is sought as a fuzzy set of vectors (with real components) rather than a vector of fuzzy numbers. Each vector in the solution set solves the given FLS with a certain possibility. The suggested method can also be applied in the case when the right-hand side is a vector of fuzzy numbers in parametric form. However, in this case, alpha-cuts of the solution cannot be determined by geometric similarity and additional computations are needed.
URI: https://hdl.handle.net/20.500.11851/6085
ISSN: 1526-1492
1526-1506
Appears in Collections:Matematik Bölümü / Department of Mathematics
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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