2018
DOI: 10.1016/j.asoc.2018.05.040
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Positive or negative solutions to first-order fully fuzzy linear differential equations under generalized differentiability

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Cited by 17 publications
(5 citation statements)
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“…This may be one of the reasons that a large body of studies has been conducted on gH-differentiability of a fuzzy function and FDEs equipped with such a concept, e.g. see [55]- [69]. Concomitantly, in order to address the issue of the existence of gH-derivative of a fuzzy function, the concept of generalized derivative (g-derivative) based on the generalized difference (gdifference) was introduced in 2013 [53].…”
Section: A Integer Order Fuzzy Differential Equationsmentioning
confidence: 99%
“…This may be one of the reasons that a large body of studies has been conducted on gH-differentiability of a fuzzy function and FDEs equipped with such a concept, e.g. see [55]- [69]. Concomitantly, in order to address the issue of the existence of gH-derivative of a fuzzy function, the concept of generalized derivative (g-derivative) based on the generalized difference (gdifference) was introduced in 2013 [53].…”
Section: A Integer Order Fuzzy Differential Equationsmentioning
confidence: 99%
“…(18) is called dual fuzzy polynomial. If we use the dual fuzzy polynomial (18) to model a nonlinear function…”
Section: Applying the Solutions Of Fuzzy Equations To Nonlinear Systemsmentioning
confidence: 99%
“…In [17] the compound ( G ′ G )-expansion method is proposed to construct the multiple non-traveling wave solutions of nonlinear PDEs. In [18] positive or negative solutions to first-order fully fuzzy linear differential equations under generalized differentiability are studied. In [19] concreted solutions to fuzzy linear fractional differential equations under Riemann-Liouville H-differentiability is studied.…”
Section: Introductionmentioning
confidence: 99%
“…Zimmerman [3] introduced the first formulation of fuzzy linear programming (FLP) to address the impreciseness of the parameters in linear programming (LP) problems with fuzzy constraints and objective functions. A number of researchers have exhibited their interest to solve the FLP problems [4][5][6][7][8][9][10][11][12][13] and fully FLP problems [14][15][16][17][18][19][20][21][22][23].…”
Section: Introductionmentioning
confidence: 99%