A fuzzy finite element method for sparse experimental data based on a possibilistic approach

A. Dridger, I. Caylak, R. Mahnken, PAMM (2018) 55–56.

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Journal Article | Published | English
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PAMM
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55-56
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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.

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