First order linear fuzzy differential equations under generalized differentiability
By Barnabás Bede, Imre J. Rudas, Attila L. Bencsik. Information Sciences, 2007
518 citations recorded by the source corpus.
Subfields: Applied Mathematics, Management Science and Operations Research, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/eb963e7cdf55b65d9a9f6b4643bf0a03f39395e9
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Applied Mathematics
- Tofigh Allahviranloo
- Saeid Abbasbandy
- Soheil Salahshour
- Omar Abu Arqub
- Liping Chen
- Nabil T. Shawagfeh
- M. Al‐Smadi
- Banan Maayah
In Management Science and Operations Research
- Tofigh Allahviranloo
- Zhen Luo
- Saeid Abbasbandy
- Soheil Salahshour
- Omar Abu Arqub
- Jinglai Wu
- Nong Zhang
- Yunqing Zhang
In Statistics and Probability
- Jinglai Wu
- Zhen Luo
- Nong Zhang
- Yunqing Zhang
- Tofigh Allahviranloo
- Saeid Abbasbandy
- Soheil Salahshour
- Omar Abu Arqub
Citations in the corpus
- Adaptation of reproducing kernel algorithm for solving fuzzy Fredholm–Volterra integrodifferential equations (2017, background): “As a conclusion, to overcome the above-mentioned shortcoming, the concept of a strongly generalized differentiability was developed and investigated in [2, 7, 9, 10, 19, 20, 21, 25, 48].”
- SOLVING FUZZY FRACTIONAL DIFFERENTIAL EQUATIONS BY FUZZY LAPLACE TRANSFORMS (2012, methodology): “To this end, a direct procedure is adopted to derive such concept which is constructed based on the combination of strongly generalized differentiability [13] and Riemann–Liouville derivative [18,27].”
- Interval uncertain method for multibody mechanical systems using Chebyshev inclusion functions (2013, methodology): “These methods cannot obtain a unique solution and can only suit linear differential equations [12].”