We present a method for solving fully fuzzy linear systems using interval aspects of fuzzy
numbers. This new method uses a decomposition technique to convert a fully fuzzy linear …

Fuzzy numbers have many applications in various mathematical models in both linear and
nonlinear forms. In the form of a nonlinear system, fuzzy nonlinear equations can be …

Pair matrix equations have numerous applications in control system engineering, such as for
stability analysis of linear control systems and also for reduction of nonlinear control system …

Sylvester matrix equation is one of the most popular equations used in control theory. In
applying the uncertainty, vague, ambiguity and incomplete real problem, this equation can …

Sylvester matrix equations played a prominent role in various areas including control theory.
Considering to any uncertainty problems that can be occurred at any time, the Sylvester …

Matrix equations have its own important in the field of control system engineering particularly
in the stability analysis of linear control systems and the reduction of nonlinear control …

This study proposes an algorithm for obtaining the positive solution of a fully fuzzy Sylvester
matrix equation with arbitrary triangular fuzzy coefficients. The algorithm exceeds the …

This paper discusses a new approximate solution of a class of fully fuzzy linear systems Ax=
b in which the coefficient matrix A is a positive fuzzy matrix. The original fuzzy linear systems …

In paper the generalized real eigenvalue and fuzzy eigenvector of a crisp real symmetric
matrix with respect to another real symmetric matrix is studied. The original generalized …

Several iterative methods can solve a fully fuzzy nonlinear system. However, the matrix
concept is preferred in solving a fully fuzzy nonlinear system of equations to make it …