Open Access

ARTICLE

A Geometric Approach to Solve Fuzzy Linear Systems

by Nizami Gasilov¹, Afet Golayo ˇglu Fatullayev¹

1 Baskent University, Ankara, Turkey.
2 Ankara University, Computer Engineering Department, Ankara, Turkey.
3 TOBB ETU, Ankara, Turkey.

Computer Modeling in Engineering & Sciences 2011, 75(3&4), 189-204. https://doi.org/10.3970/cmes.2011.075.189

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.

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Keywords

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