2021
DOI: 10.1007/s41066-021-00276-0
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The solution techniques for linear and quadratic equations with coefficients as Cauchy neutrosphic numbers

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Cited by 6 publications
(3 citation statements)
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“…The notion of neutrosophic Riemann integration is established by Biswas et al [38]. Rahaman et al [39] established the approach for solving linear and quadratic equations using Cauchy neutrosophic coefficients. Salama et al [40] discussed an NDE by using a neutrosophic thick function.…”
Section: Neutrosophic Calculus and Differential Equationmentioning
confidence: 99%
See 1 more Smart Citation
“…The notion of neutrosophic Riemann integration is established by Biswas et al [38]. Rahaman et al [39] established the approach for solving linear and quadratic equations using Cauchy neutrosophic coefficients. Salama et al [40] discussed an NDE by using a neutrosophic thick function.…”
Section: Neutrosophic Calculus and Differential Equationmentioning
confidence: 99%
“…It has come to our attention that the majority of studies [9,[34][35][36][37][38][39][41][42][43][44][45][46][47]49,50] in neutrosophic set theory have focused on applying neutrosophic sets in various scientific disciplines. However, there has been minimal effort directed towards the comprehensive development of neutrosophic differential equations and their manifestation within the neutrosophic context.…”
mentioning
confidence: 99%
“…Different researchers used various fuzzy numbers to solve fuzzy linear systems of equations. For example, Akram et al 3032 used the LR-bipolar fuzzy number to solve the bipolar fuzzy linear system of equation, Rehaman et al 33 used the neutrosphic fuzzy number, Nasseri and Zahmatkesh 34 used triangular fuzzy number to solve fully fuzzy linaer system of equations, Akram et al 35 linear system of equations in m-polar fuzzy environment, Matinfar et al 36 used Householder Decomposition method, Muzzioli and Reynaerts 37 used triangular fuzzy number to solve A 1 x + b 1 = A 2 x + b 2 , Abbasbandy et al 38 find minimal solution of general dual fuzzy linear systems, Lodwick and Dubois 39 used interval linear systems as a necessary step in fuzzy linear systems of equations, Nasseri et al 40 trapezoidal fuzzy numbers to solve fuzzy linear system of equations, and many others.…”
Section: Introductionmentioning
confidence: 99%