2015
DOI: 10.1007/s40815-015-0111-7
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An Alternative Approach for Solving Dual Fuzzy Nonlinear Equations

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Cited by 10 publications
(17 citation statements)
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“…Thus, where and for , . However, by symmetry in (3) can be written as Hence, we get After solving the fuzzy nonlinear equations and results obtained satisfies the inequality , one can choose the following fuzzy number (4) as the initial guess [3,4,9], and its parametric form is given as ,…”
Section: The Barzilai-borwein Gradient Methods For Solving Fuzzy Nonlimentioning
confidence: 99%
See 2 more Smart Citations
“…Thus, where and for , . However, by symmetry in (3) can be written as Hence, we get After solving the fuzzy nonlinear equations and results obtained satisfies the inequality , one can choose the following fuzzy number (4) as the initial guess [3,4,9], and its parametric form is given as ,…”
Section: The Barzilai-borwein Gradient Methods For Solving Fuzzy Nonlimentioning
confidence: 99%
“…is upper semi-continuous, (2). outside some interval , (3). there are real numbers such that and (3.1)…”
Section: Preliminariesmentioning
confidence: 99%
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“…Waziri and Majid proposed a new approach for solving DFN-equations by combining Newton's method for initial iteration and Broyden's method for the rest of the iterations [7]. The paper [8] presents a method of solving DFN-systems based on Chord Newton's method as an improvement of Newton's iterative method published in [5]. An unquestionable advantage of the method [8] is that it requires the Jacobian matrix to be calculated only once for all iterations whereas in Newton's method from [5] the matrix has to be calculated in each subsequent iteration, which is connected with a high computational effort.…”
Section: Introductionmentioning
confidence: 99%
“…In [14] suggested a Jacobian updating formula for the Shamanskii method and applied it to solve fuzzy nonlinear equations having singular Jacobian. In [16] employ the Chord's Newton method to solve dual fuzzy nonlinear equations. In [13] further solved dual fuzzy nonlinear problems by Levenberg-Marquardt approach.…”
Section: Introductionmentioning
confidence: 99%