| A universal approach to imprecise probabilities in possibility theory D Hose, M Hanss International Journal of Approximate Reasoning 133, 133-158, 2021 | 33 | 2021 |
| Developing grey-box dynamic process models C de Prada, D Hose, G Gutierrez, JL Pitarch IFAC-PapersOnLine 51 (2), 523-528, 2018 | 32 | 2018 |
| Fuzzy linear least squares for the identification of possibilistic regression models D Hose, M Hanss Fuzzy Sets and Systems 367, 82-95, 2019 | 31 | 2019 |
| Possibilistic calculus as a conservative counterpart to probabilistic calculus D Hose, M Hanss Mechanical Systems and Signal Processing 133, 106290, 2019 | 20 | 2019 |
| Possibilistic reasoning with imprecise probabilities: statistical inference and dynamic filtering D Hose Shaker Verlag, 2022 | 12 | 2022 |
| Uncertainty quantification of large-scale dynamical systems using parametric model order reduction B Fröhlich, D Hose, O Dieterich, M Hanss, P Eberhard Mechanical Systems and Signal Processing 171, 108855, 2022 | 11 | 2022 |
| On data-based estimation of possibility distributions D Hose, M Hanss Fuzzy Sets and Systems 399, 77-94, 2020 | 11 | 2020 |
| Distinguishing geometrically identical instruments: Possibilistic identification of material parameters in a parametrically model order reduced finite element model of a … A Brauchler, D Hose, P Ziegler, M Hanss, P Eberhard Journal of Sound and Vibration 535, 117071, 2022 | 10 | 2022 |
| Consistent inverse probability and possibility propagation D Hose, M Hanss 11th Conference of the European Society for Fuzzy Logic and Technology …, 2019 | 10 | 2019 |
| Dependent possibilistic arithmetic using copulas A Gray, D Hose, M De Angelis, M Hanss, S Ferson International Symposium on Imprecise Probability: Theories and Applications …, 2021 | 9 | 2021 |
| Robust optimization in possibility theory D Hose, M Mäck, M Hanss ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B …, 2019 | 9 | 2019 |
| Towards a General Theory for Data-Based Possibilistic Parameter Inference D Hose, M Hanss Proc. of the 3rd International Conference on Uncertainty Quantification in …, 2019 | 8 | 2019 |
| On inverse fuzzy arithmetical problems in uncertainty analysis D Hose, M Hanss Proceedings of the 7th International Conference on Uncertainties in …, 2018 | 7 | 2018 |
| A possibilistic approach to the optimization of uncertain systems D Hose, M Mäck, M Hanss 1, 2018 | 6 | 2018 |
| On probability-possibility consistency in high-dimensional propagation problems D Hose, M Mäck, M Hanss Third International Conference on Uncertainty Quantification in …, 2019 | 5 | 2019 |
| A Practical Strategy for Valid Partial Prior-Dependent Possibilistic Inference D Hose, M Hanss, R Martin International Conference on Belief Functions, 197-206, 2022 | 4 | 2022 |
| On the solution of forward and inverse problems in possibilistic uncertainty quantification for dynamical systems D Hose, M Hanss | 4 | 2020 |
| On Using Fuzzy Arithmetic in Optimization Problems with Uncertain Constraints M Mäck, D Hose, M Hanss Proceedings in Applied Mathematics and Mechanics 17 (1), 57-58, 2017 | 3 | 2017 |
| A Data‐Driven Possibilistic Approach to the Identification of Uncertain Stability Lobe Diagrams D Hose, D Hamann, M Hanss, P Eberhard PAMM 18 (1), e201800087, 2018 | 2 | 2018 |
| Possibilistic Identification of Reliable Finite Impulse Response Models D Hose, M Hanss 8th International Workshop on Reliable Engineering Computing, 2018 | 2 | 2018 |
Michael HanssUniversity of Stuttgart, GermanyVerified email at itm.uni-stuttgart.de
