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Fuzzy linear systems of the form A_1x + b_1 = A_2x + b_2

机译:形式为A_1x + b_1 = A_2x + b_2的模糊线性系统

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摘要

Linear systems of equations, with uncertainty on the parameters, play a major role in several applications in various areas such as economics, finance, engineering and physics. This paper investigates fuzzy linear systems of the form A_1x +b_1= A_2x + b_2 with A_1, A_2 square matrices of fuzzy coefficients and b_1,b_2 fuzzy number vectors. The aim of this paper is twofold. First, we clarify the link between interval linear systems and fuzzy linear systems. Second, a generalization of the vector solution of Buckley and Qu [Solving systems of linear fuzzy equations, Fuzzy Sets and Systems 43 (1991) 33-43] to the fuzzy system A_1x + b_1 = A_2x + b_2 is provided. In particular, we give the conditions under which the system has a vector solution and we show that the linear systems Ax = b and A_1x + b_1 = A_2x + b_2, with A = A_1 - A_2 and b = b_2 - b_1, have the same vector solutions. Moreover, in order to find the vector solution, a simple algorithm is proposed.
机译:在参数不确定的情况下,线性方程组在经济,金融,工程和物理等各个领域的多种应用中起着重要作用。本文研究了形式为A_1x + b_1 = A_2x + b_2的模糊线性系统,该系统具有模糊系数的A_1,A_2方阵和b_1,b_2模糊数向量。本文的目的是双重的。首先,我们阐明区间线性系统和模糊线性系统之间的联系。其次,提供了Buckley和Qu [线性线性方程组的求解系统,模糊集合和系统43(1991)33-43]的矢量解到模糊系统A_1x + b_1 = A_2x + b_2的推广。特别是,我们给出了系统具有矢量解的条件,并且我们证明线性系统Ax = b和A_1x + b_1 = A_2x + b_2,其中A = A_1-A_2和b = b_2-b_1具有相同的条件向量解决方案。此外,为了找到向量解,提出了一种简单的算法。

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