In this paper, we give a certain decomposition of the coefficient matrix of the fully fuzzy linear
system (FFLS) to obtain a simple algorithm for solving these systems. The new algorithm can …

Numerous real-world applications can be solved using the broadly adopted notions of
intuitionistic fuzzy sets, Pythagorean fuzzy sets, and q-rung orthopair fuzzy sets. These …

In this paper, we present a method to solve fully fuzzy linear systems with symmetric
coefficient matrix. The symmetric coefficient matrix is decomposed into two systems of …

The Sylvester equation arises in many application areas, for instance process and system
control, and in the fuzzy setting, solution of this equation has been considered only in the …

This paper investigates the static analysis of structures subjected to uncertain loads using
the fuzzy and interval finite element method. Uncertainties are considered in terms of interval …

Recent developments in multi objective programming by Geoffrion, Mond and Wolfe [3, 8,
13] show interesting results with convex functions and related scalar objective programs. In …

In this article we have presented a unique representation for interval arithmetic. The
traditional interval arithmetic is transformed into crisp by symbolic parameterization. Then …

Abstract System of linear equations is a common mathematical phenomenon which occurs
in science and engineering problems. But fuzzy systems of linear equations are obtained …

In this article, we introduce ST decomposition procedure to solve fully fuzzy linear systems.
This paper mainly to discuss a decomposition of non singular fuzzy matrix, Symmetric times …

A system of linear equations can be combined with a fuzzy number that produces a new
equation, namely a system of fuzzy linear equations. The system of fuzzy linear equations …