"A fuzzy finite element method for sparse experimental data based on a possibilistic approach"
A. Dridger, I. Caylak, R. Mahnken, PAMM (2018) 55–56.
Download
No fulltext has been uploaded.
Journal Article
| Published
| English
Author
Dridger, Alex;
Caylak, Ismail;
Mahnken, Rolf
Department
Publishing Year
Journal Title
PAMM
Page
55-56
ISSN
LibreCat-ID
Cite this
Dridger A, Caylak I, Mahnken R. “A fuzzy finite element method for sparse experimental data based on a possibilistic approach.” PAMM. 2018:55-56. doi:10.1002/pamm.201710016
Dridger, A., Caylak, I., & Mahnken, R. (2018). “A fuzzy finite element method for sparse experimental data based on a possibilistic approach.” PAMM, 55–56. https://doi.org/10.1002/pamm.201710016
@article{Dridger_Caylak_Mahnken_2018, title={“A fuzzy finite element method for sparse experimental data based on a possibilistic approach”}, DOI={10.1002/pamm.201710016}, journal={PAMM}, author={Dridger, Alex and Caylak, Ismail and Mahnken, Rolf}, year={2018}, pages={55–56} }
Dridger, Alex, Ismail Caylak, and Rolf Mahnken. “‘A Fuzzy Finite Element Method for Sparse Experimental Data Based on a Possibilistic Approach.’” PAMM, 2018, 55–56. https://doi.org/10.1002/pamm.201710016.
A. Dridger, I. Caylak, and R. Mahnken, “‘A fuzzy finite element method for sparse experimental data based on a possibilistic approach,’” PAMM, pp. 55–56, 2018.
Dridger, Alex, et al. “‘A Fuzzy Finite Element Method for Sparse Experimental Data Based on a Possibilistic Approach.’” PAMM, 2018, pp. 55–56, doi:10.1002/pamm.201710016.
Google Scholar