Dieses Bild zeigtMichael Hanss

Michael Hanss

Prof. Dr.-Ing.

Institut für Technische und Numerische Mechanik (ITM)

Kontakt

+49 711 685 66273
 +49 711 685 66400

Pfaffenwaldring 9
70569 Stuttgart
Deutschland
Raum: 4.120

Fachgebiet

 

  1. Behrend, J., Könecke, T., Rosenfelder, M., Schneider, J., Hanss, M., & Eberhard, P. (2026). Possibilistic Uncertainty Modeling with Hyperellipsoids. Proceedings of the 11th International Workshop on Reliable Engineering Computing, 204–218. https://doi.org/10.17877/tudobooks-11.155
  2. Schneider, J., Könecke, T., Ebel, H., & Hanss, M. (2026). Possibilistic Filtering for Reliable Robot Localization. Proceedings of the 11th International Workshop on Reliable Engineering Computing, 193–203. https://doi.org/10.17877/tudobooks-11.157
  3. Schneider, J., Könecke, T., & Hanss, M. (2026). Exploring Imprecise Probabilities in Quantum Algorithms with Possibility Theory. Proceedings in Applied Mathematics and Mechanics (PAMM), 26. https://doi.org/10.1002/pamm.70086
  4. Könecke, T., Schneider, J., & Hanss, M. (2025). Sampling-Based Possibility Theory for Engineering Analysis Under Uncertainty: Inference, Prediction and Optimization. Proceedings of the 35th European Safety and Reliability Conference (ESREL2025) and the 33rd Society for Risk Analysis Europe Conference (SRA-E 2025). https://doi.org/10.3850/978-981-94-3281-3_esrel-sra-e2025-p3044-cd
  5. Könecke, T., Ebel, H., & Hanss, M. (2025). Possibilistic Robot Localization Using Visual Landmarks. Proceedings in Applied Mathematics and Mechanics, 25, Article 1. https://doi.org/10.1002/pamm.70002
  6. Schneider, J., Könecke, T., & Hanss, M. (2025). Possibilistic Neural Networks: Reliable Confidence Predictions under Limited Data. Proceedings of the 6th International Conference on Uncertainty Quantification in Computational Sciences and Engineering - UNCECOMP 2025. https://doi.org/10.7712/120225.12339.21200
  7. Könecke, T., & Hanss, M. (2024). Exploring possibilistic potentials in uncertainty quantification for modal analysis techniques. Proceedings of USD2024 International Conference on Uncertainty in Structural Dynamics.
  8. Schneider, J., Könecke, T., Ebel, H., & Hanss, M. (2024). Confident Robot Localization by Possibilistic Filtering. Proceedings of the 26th International Congress of Theoretical and Applied Mechanics - ICTAM.
  9. Frie, L., Könecke, T., Hanss, M., & Eberhard, P. (2023). Possibilistic Uncertainty Quantification for Parametrically Reduced Models of Dynamic Systems with Many Inputs. In Proceedings of the 49th European Rotorcraft Forum.
  10. Könecke, T., & Hanss, M. (2023). On Processing Heterogeneous Sources of Limited Data for Uncertainty Quantification in a Possibilistic Framework. Proceedings of the 5th International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2023). https://doi.org/10.7712/120223.10343.19772
  11. Brauchler, A., Hose, D., Ziegler, P., Hanss, M., & Eberhard, P. (2022). Distinguishing Geometrically Identical Instruments: Possibilistic Identification of Material Parameters in a Parametrically Model Order Reduced Finite Element Model of a Classical Guitar. Journal of Sound and Vibration, 535, 117071. https://doi.org/10.1016/j.jsv.2022.117071
  12. Könecke, T., Hose, D., Frie, L., Hanss, M., & Eberhard, P. (2022). Analysis of Mixed Uncertainty through Possibilistic Inference by Using Error Estimation of Reduced Order Surrogate Models. ISMA/USD 2022 Proceedings.
  13. Hose, D., Hanss, M., & Martin, R. (2022). A practical strategy for valid partial prior-dependent possibilistic inference. Proc. Of the 7th International Conference on Belief Functions – BELIEF 2022, 13506. https://doi.org/10.1007/978-3-031-17801-6_19
  14. Fröhlich, B., Hose, D., Dieterich, O., Hanss, M., & Eberhard, P. (2022). Uncertainty Quantification of Large-Scale Dynamical Systems using Parametric Model Order Reduction. Mechanical Systems and Signal Processing, 171, 108855. https://doi.org/10.1016/j.ymssp.2022.108855
  15. Hose, D., & Hanss, M. (2021). A Recursive Formulation of Possibilistic Filters. Proceedings of Machine Learning Research, 147, 180–190.
  16. Gray, A., Hose, D., De Angelis, M., Hanss, M., & Ferson, S. (2021). Dependent Possibilistic Arithmetic using Copulas. Proceedings of Machine Learning Research, 147, 169–179.
  17. Hose, D., & Hanss, M. (2021). A Universal Approach to Imprecise Probabilities in Possibility Theory. International Journal of Approximate Reasoning, 133, 133–158. https://doi.org/10.1016/j.ijar.2021.03.010
  18. Hose, D., & Hanss, M. (2021). On the Solution of Forward and Inverse Problems in Possibilistic Uncertainty Quantification for Dynamical Systems. 9th International Workshop on Reliable Engineering Computing, 295–307.
  19. Mäck, M., & Hanss, M. (2021). An Advanced Sampling Technique for Possibilistic Uncertainty Propagation. Mechanical Systems and Signal Processing, 147. https://doi.org/10.1016/j.ymssp.2020.107064
  20. Hose, D., & Hanss, M. (2020). On Data-Based Estimation of Possibility Distributions. Fuzzy Sets and Systems, 399, 77–94. https://doi.org/10.1016/j.fss.2020.03.017
  21. Mäck, M., Caylak, I., Edler, P., Freitag, S., Hanss, M., Mahnken, R., Meschke, G., & Penner, E. (2019). Optimization with Constraints Considering Polymorphic Uncertainties. Surveys for Applied Mathematics and Mechanics (GAMM-Mitteilungen), 42. https://doi.org/10.1002/gamm.201900005
  22. Hose, D., & Hanss, M. (2019). Fuzzy Linear Least Squares for the Identification of Possibilistic Regression Models. Fuzzy Sets and Systems, 367, 82–95. https://doi.org/10.1016/j.fss.2018.10.003
  23. Mäck, M., & Hanss, M. (2019). Uncertainty Analysis of a Car Crash Scenario using a Possibilistic Multi-Fidelity Scheme. Proceedings of the 3rd International Conference on Uncertainty Quantification in Computational Sciences and Engineering – UNCECOMP 2019. https://doi.org/10.7712/120219.6357.18645
  24. Hose, D., & Hanss, M. (2019). Consistent Inverse Probability and Possibility Propagation. Proceedings of the 11th Conference of the European Society for Fuzzy Logic and Technology EUSFLAT 2019. https://doi.org/10.2991/eusflat-19.2019.1
  25. Mäck, M., & Hanss, M. (2019). Efficient Possibilistic Uncertainty Analysis of a Car Crash Scenario Using a Multi-Fidelity Approach. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering, 5, Article 4.
  26. Hofmann, A., Hanss, M., & Eberhard, P. (2019). Possibilistic Investigation of Mechanical Control Systems under Uncertainty. Proceedings of the 9th ECCOMAS Thematic Conference on Multibody Dynamics, 53, 147–154. https://doi.org/10.1007/978-3-030-23132-3_18
  27. Hose, D., & Hanss, M. (2019). Possibilistic Calculus as a Conservative Counterpart to Probabilistic Calculus. Mechanical Systems and Signal Processing, 133. https://doi.org/10.1016/j.ymssp.2019.106290
  28. Biehler, J., Mäck, M., Nitzler, J., Hanss, M., Koutsourelakis, P.-S., & Wall, W. A. (2019). Multifidelity Approaches for Uncertainty Quantification. Surveys for Applied Mathematics and Mechanics (GAMM-Mitteilungen), 42. https://doi.org/10.1002/gamm.201900008
  29. Hose, D., Mäck, M., & Hanss, M. (2019). On Probability-Possibility Consistency in High- Dimensional Propagation Problems. Proceedings of the 3rd International Conference on Uncertainty Quantification in Computational Sciences and Engineering UNCECOMP 2019. https://doi.org/10.7712/120219.6330.18439
  30. Hose, D., & Hanss, M. (2019). Towards a General Theory for Data-Based Possibilistic Parameter Inference. Proceedings of the 3rd International Conference on Uncertainty Quantification in Computational Sciences and Engineering UNCECOMP 2019. https://doi.org/10.7712/120219.6329.18389
  31. Hose, D., Mäck, M., & Hanss, M. (2019). Robust Optimization in Possibility Theory. ASCEASME Journal of Risk and Uncertainty in Engineering Systems Part B: Mechanical Engineering, 5, Article 4. https://doi.org/10.1115/1.4044037
  32. Iroz, I., Carvajal, S., Hanss, M., & Eberhard, P. (2019). Transient simulation and uncertainty analysis of brake systems using a fuzzy-parameterized multibody system approach. Mathematics and Mechanics of Solids, 24, Article 1.
  33. Hose, D., Mäck, M., & Hanss, M. (2018). A Possibilistic Approach to the Optimization of Uncertain Systems. Proceedings of the 7th International Symposium on Uncertainty Modeling and Analysis ICVRAM-ISUMA 2018.
  34. Mäck, M., & Hanss, M. (2018). A Multi-fidelity Approach for Possibilistic Uncertainty Analysis. Proceedings of the 7th International Conference on Uncertainties in Structural Dynamics USD 2018.
  35. Hose, D., & Hanss, M. (2018). On Inverse Fuzzy Arithmetical Problems in Uncertainty Analysis. Proceedings of the International Conference on Noise and Vibration Engineering ISMA2018 and International Conference on Uncertainty in Structural Dynamics USD2018.
  36. Hose, D., & Hanss, M. (2018). Possibilistic Identification of Reliable Finite Impulse Response Models. Proceedings of the 8th International Workshop on Reliable Engineering Computing REC.
  37. Hose, D., Hamann, D., Hanss, M., & Eberhard, P. (2018). A Data-Driven Possibilistic Approach to the Identification of Uncertain Stability Lobe Diagrams. Proceedings in Applied Mathematics and Mechanics, 18. https://doi.org/10.1002/pamm.201800087
  38. Iroz, I., Hanss, M., & Eberhard, P. (2017). An Energy Study of Friction-induced Vibrations in Automotive Brake Systems. PAMM Proceedings in Applied Mathematics and Mechanics.
  39. Hamann, D., Walz, N.-P., Fischer, A., Hanss, M., & Eberhard, P. (2017). Stability Analysis of Machining Processes with Parameter Uncertainty. Proceedings of the 9th European Nonlinear Dynamics Conference - Enoc 2017.
  40. Bestle, P., Eberhard, P., & Hanss, M. (2017). Musical Instruments – Sound Synthesis of Virtual Idiophones. Journal of Sound and Vibration, 395, 187–200. https://doi.org/10.1016/j.jsv.2017.02.010
  41. Iroz, I., Hanss, M., & Eberhard, P. (2017). Transient Simulation of Friction-induced Vibrations Using an Elastic Multibody Approach. Multibody System Dynamics, 39, 37–49.
  42. Mäck, M., Hose, D., & Hanss, M. (2017). On Using Fuzzy Arithmetic in Optimization Problems with Uncertain Constraints. Proceedings of the 88th Applied Mathematics and Mechanics PAMM 2017, Weimar, 17, 57–58. https://doi.org/10.1002/pamm.201710017
  43. Mäck, M., & Hanss, M. (2017). An Approach to Robust Design of a Crumple-zone Structure Using Fuzzy Arithmetic. Proceedings of the UNCECOMP 2017, Rhodes Island, Greece, 2017. https://doi.org/10.7712/120217.5369.16837
  44. Hamann, D., Walz, N.-P., Fischer, A., Hanss, M., & Eberhard, P. (2017). Fuzzy Arithmetical Stability Analysis of Uncertain Machining Systems. Mechanical Systems and Signal Processing, 98, 534–547.
  45. Hanss, M., & Mäck, M. (2017). Certainly Uncertain - the Charm of Fuzzy Predictions. Procedia Engineering, 199, 48–55. https://doi.org/10.1016/j.proeng.2017.09.149
  46. Hofmann, A., & Hanss, M. (2017). Fuzzy Arithmetical Controller Design for Active Road Vehicle Suspension in the Presence of Uncertainties. Proceedings of the 22nd IEEE International Conference on Methods and Models in Automation and Robotics (MMAR 2017), Miedzyzdroje, Poland, 2017. https://doi.org/10.1109/mmar.2017.8046893
  47. Fehr, J., Fuhrer, J., Kleinbach, C., Hanss, M., & Eberhard, P. (2016). Fuzzy-Based Analysis of a Hill-Type Muscle Model. PAMM Proceedings in Applied Mathematics and Mechanics, 16, 31–34. https://doi.org/10.1002/pamm.201610009
  48. Iroz, I., Carvajal, S., Hanss, M., & Eberhard, P. (2016). Time-domain Investigation of Brake-system Dynamics Based on Elastic Multibody Systems and Fuzzy Arithmetical Uncertainty Analyses. Proceedings of the ISMA/USD Conference.
  49. Iroz, I., Hanss, M., & Eberhard, P. (2016). An Elastic Multibody Approach for the Efficient Transient Simulation of an Industrial Brake System. Proceedings Int. Conference on Multibody System Dynamics (IMSD 2016).
  50. Hanselowski, A., Ihrle, S., & Hanss, M. (2016). Fuzzy Bayesian Estimation for the Identification of Fuzzy-parameterized Models in the Framework of Model Updating. In Proceedings of the ISMA-USD 2016, Leuven, Belgium, 2016.
  51. Hofmann, A., & Hanss, M. (2016). A Fuzzy Arithmetical Strategy for Robust Controller Design in the Presence of Model Uncertainties. Proceedings of the ISMA/USD Conference.
  52. Hofmann, A., Walz, N.-P., & Hanss, M. (2016). An Approach to Feed-forward Controller Design for Underactuated Multibody Systems in the Presence of Uncertainty. Pamm, 16, 59–60. https://doi.org/10.1002/pamm.201610018
  53. Schiehlen, W., Hanss, M., & Iroz, I. (2015). Robust Design of Road Vehicle Suspensions using Fuzzy Methods. Proc. Of the 24th International Symposium on Dynamics of Vehicles on Roads and Tracks (IAVSD).
  54. Iroz, I., Hanss, M., & Eberhard, P. (2015). Simulation of Friction-induced Vibrations Using Elastic Multibody Models. Proc. Of the ECCOMAS Thematic Conference on Multibody Dynamics.
  55. Iroz, I., Carvajal, S., Hanss, M., & Eberhard, P. (2015). Inverse Fuzzy Arithmetic for the Quality Assessment of Substructured Models. Procedia IUTAM, 13, 34–42. https://doi.org/10.1016/j.piutam.2015.01.011
  56. Walz, N.-P., Burkhardt, M., Hanss, M., & Eberhard, P. (2015). Sensitivity Computation for Uncertain Dynamical Systems using High-Dimensional Model Representation and Hierarchical Grids. Procedia IUTAM, 13, 127–137. https://doi.org/10.1016/j.piutam.2015.01.010
  57. Walz, N.-P., & Hanss, M. (2015). Performance Assessment of a Trajectory-tracking Approach for a Manipulator with Uncertainties using Inverse Fuzzy Arithmetic. Pamm, 15, 77–78. https://doi.org/10.1002/pamm.201510029
  58. Iroz, I., Hanss, M., & Eberhard, P. (2015). Influence of Uncertainties on the Stability of a Self-excited Elastic Multibody System. Proc. Of the International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP). https://doi.org/10.7712/120215.4292.606
  59. Hanselowski, A., & Hanss, M. (2015). A Model Updating Method based on Inverse Fuzzy Arithmetic. Proc. Of the 3rd ECCOMAS Young Investigators Conference (YIC GACM).
  60. Hanselowski, A., Ihrle, S., & Hanss, M. (2015). A Fuzzy Model Updating Technique Motivated by Bayesian Inference. Proc. Of the 1st ECCOMAS Thematic Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP). https://doi.org/10.7712/120215.4291.603
  61. Bestle, P., Eberhard, P., & Hanss, M. (2015). A Reproducible Excitation Mechanism for Analyzing Electric Guitars. PAMM Proc. In Applied Mathematics and Mechanics, 15, 45–46. https://doi.org/10.1002/pamm.201510013
  62. Walz, N.-P., Burkhardt, M., Hanss, M., & Eberhard, P. (2015). A Comprehensive Fuzzy Uncertainty Analysis of a Controlled Nonlinear System with Unstable Internal Dynamics. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering, 1. https://doi.org/10.1115/1.4030810
  63. Walz, N.-P., & Hanss, M. (2014). A Generalized Influence Measure for Fuzzy Uncertainty Analysis. Proceedings of the ICVRAM-ISUMA 2014 - the Second International Conference on Vulnerability and Risk Analysis and Management (ICVRAM) and the Sixth International Symposium on Uncertainty, Modeling, and Analysis (ISUMA). https://doi.org/10.1061/9780784413609.218
  64. Hanselowski, A., & Hanss, M. (2014). Uncertainty and Sensitivity Analysis of Different Models of Brake Squeal. PAMM Proc. In Applied Mathematics and Mechanics, 14, Article 1. https://doi.org/10.1002/pamm.201410126
  65. Hanselowski, A., & Hanss, M. (2014). Analysis of Epistemic Uncertainty for the Friction-induced Vibration. ZAMM − Zeitschrift Für Angewandte Mathematik Und Mechanik, Article 933–944. https://doi.org/10.1002/zamm.201300299
  66. Iroz, I., Carvajal, S., Hanss, M., & Eberhard, P. (2014). Effect of Substructuring Techniques on the Simulation of Friction-induced Vibrations. Proceedings of the ISMA/USD 2014.
  67. Walz, N.-P., & Hanss, M. (2014). Efficient Computation of Influence Measures for Uncertainty Analysis Using Sparse Grids. Proceedings of the ISMA/USD 2014.
  68. Schaal, C., & Hanss, M. (2014). Uncertainty Analysis for Crack Detection in Cylindrical Waveguides. PAMM Proc. In Applied Mathematics and Mechanics, 14, Article 1. https://doi.org/10.1002/pamm.201410330
  69. Bestle, P., Hanss, M., & Eberhard, P. (2014). Experimental and Numerical Analysis of the Musical Behavior of Triangle Instruments. Proceedings of the 5th European Conference of Computational Mechanics (ECCM V).
  70. Bestle, P., Hanss, M., & Eberhard, P. (2014). Sichtbare Musik - Scanning Vibrometer erfasst Schwingverhalten von Instrumenten. Focus Polytec Waldbronn, Article 36–39.
  71. Walz, N.-P., & Hanss, M. (2013). Fuzzy Arithmetical Analysis of Multibody Systems with Uncertainties. Archive of Mechanical Engineering, 60, Article 1. https://doi.org/10.2478/meceng-2013-0007
  72. Hanss, M. (2013). Fuzzy Arithmetic for Uncertainty Analysis. In On Fuzziness - A Homage to Lotfi A. Zadeh. Studies in Fuzziness and Soft Computing (Vol. 298, pp. 235–240). Springer. https://doi.org/10.1007/978-3-642-35641-4_36
  73. Schaal, C., & Hanss, M. (2013). Uncertainty analysis for damaged multi-wire cables. Proc. Of the 11th International Conference on Structural Safety and Reliability — ICOSSAR 2013.
  74. Walz, N.-P., & Hanss, M. (2013). Analysis of Uncertain Systems using Fuzzy Arithmetic and Adaptive Sparse Grids. Proceedings of the ICOSSAR2013 - the 11th International Conference on Structural Safety and Reliability.
  75. Walz, N.-P., & Hanss, M. (2013). Sparse-Grid Surrogate Models for Uncertainty Analysis. Pamm, 13, 389–390. https://doi.org/10.1002/pamm.201310190
  76. Schaal, C., & Hanss, M. (2013). Fuzzy Arithmetical Assessment of Wave Propagation Models for Multi-wire Cables. Proceeding of the IMAC XXXI — Conference and Exhibition on Structural Dynamics.
  77. Hanss, M., & Walz, N.-P. (2012). A Fuzzy Arithmetical Approach to the Inclusion of Uncertainties in Multibody Systems. Proceedings of the 2nd Joint International Conference on Multibody System Dynamics (IMSD 2012).
  78. Haag, T., Carvajal González, S., & Hanss, M. (2012). Model Validation and Selection Based on Inverse Fuzzy Arithmetic. Mechanical Systems and Signal Processing, 32, 116–134. https://doi.org/10.1016/j.ymssp.2011.09.028
  79. Haag, T., & Hanss, M. (2012). Comprehensive modeling of uncertain systems using fuzzy set theory. Nondeterministic Mechanics, CISM Courses and Lectures, 539.
  80. Schaal, C., Krautter, M., & Hanss, M. (2012). Dispersion in Cylindrical Waveguides with Uncertain Parameters. Special Issue — 83rd Annual Meeting of the International Association of Applied Mathematics and Mechanics (GAMM), PAMM 12. https://doi.org/10.1002/pamm.201210257
  81. Schaal, C., & Hanss, M. (2012). Modeling Wave Propagation in Coupled Waveguides with Uncertain Parameters. Proceedings of the 4th International Conference on Uncertainty in Structural Dynamics - USD 2012.
  82. Walz, N.-P., Fischer, M., Hanss, M., & Eberhard, P. (2012). Uncertainties in Multibody Systems - Potentials and Challenges. Proceedings of the 4th International Conference on Uncertainty in Structural Dynamics - USD 2012.
  83. Walz, N.-P., & Hanss, M. (2012). On the Analysis of Multibody Systems in the Presence of Uncertainties. PAMM Proceedings in Applied Mathematics and Mechanics. Special Issue: 83rd Annual Meeting of GAMM, 12, Article 1. https://doi.org/10.1002/pamm.201210020

 

Vortragsliste

Eingereichte Veröffentlichungen (noch nicht angenommen)

  1. Könecke, T., Elangasinghe, A., Cillo, P., Ziegler, P., Hanss, M., & Eberhard, P. (2026). Identification of Confidence Distributions for Modal Parameters in the Face of Measurement Uncertainty. Applied Mathematical Modeling. https://doi.org/10.18419/opus-17562
  2. Könecke, T., Kaupp, L., Cillo, P., Ziegler, P., Hanss, M., & Eberhard, P. (2025). Beyond Material Properties: Possibility-Based Uncertainty Propagation in Computational Modal Analysis. https://doi.org/10.18419/opus-17641

Angenommene Veröffentlichungen (noch nicht erschienen)

  1. Könecke, T., Schneider, J., & Hanss, M. (2026). Uncertainty Quantification Beyond Probability: Using Possibility Theory for Reliable Modal Analysis. Springer Procceding in Physics.
  2. Elangasinghe, A., Könecke, T., Schneider, J., Rosenfelder, M., Hanss, M., & Eberhard, P. (2025). Possibilistic Filtering and Control of a Highly Dynamic Mechanical System in the Presence of Uncertainty. International Journal of Fuzzy Computation and Modelling.

Bücher

  • M. Hanss: Identifikation von Fuzzy-Modellen und ihre Anwendung zur Regelung nichtlinearer Prozesse. Dissertation, Bericht aus dem Institut A für Mechanik der Universität Stuttgart 1998/6, 1998.
  • M. Hanss: Applied Fuzzy Arithmetic – An Introduction with Engineering Applications. Textbook. Springer-Verlag, Berlin, 2005.
  • K. Willner, M. Hanss (eds.): Angewandte und Experimentelle Mechanik – Ein Querschnitt. Der Andere Verlag, Tönning, Lübeck und Marburg, 2006.

Artikel in Büchern und Zeitschriften

  • M. Hanss: Ein Fuzzy-Prädiktor für Bioprozesse. B. Reusch (ed.): Fuzzy Logik – Theorie und Praxis, Springer-Verlag, Berlin, 1994, pp. 235–242.
  • M. Hanss, M. Estler: Anmerkungen zur On-line-Parameterschätzung für die adaptive Regelung von Mehrgrößensystemen. Automatisierungstechnik, 42:198–205, 1994.
  • M. Hanss: Eine Methode zur Identifikation von Fuzzy-Modellen. Automatisierungstechnik, 44:71–78, 1996.
  • M. Hanss: Identification of enhanced fuzzy models with special membership functions and fuzzy rule bases. Engineering Applications of Artificial Intelligence, 12:309–319, 1999.
  • M. Hanss, A. Kistner: Fuzzy-Methoden. Schriftenreihe des Informatikverbunds Stuttgart (IVS-Schriftenreihe), 2(Softcomputing):5–16, 1999.
  • M. Hanss, K. Willner: A fuzzy arithmetical approach to the solution of finite element problems with uncertain parameters. Mechanics Research Communications, 27(3):257–272, 2000.
  • O. Nehls, M. Hanss: Using fuzzy arithmetic to simulate the human glucose uptake with uncertain parameters. Diabetes, Nutrition and Metabolism, 13(4), 2000.
  • M. Hanss, S. Hurlebaus, L. Gaul: Fuzzy sensitivity analysis for the identification of material properties of orthotropic plates from natural frequencies. Mechanical Systems and Signal Processing, 16(5):769–784, 2002.
  • M. Hanss: The transformation method for the simulation and analysis of systems with uncertain parameters. Fuzzy Sets and Systems, 130(3):277–289, 2002.
  • M. Hanss, S. Oexl, L. Gaul: Identification of a bolted-joint model with uncertain parameters loaded normal to the contact interface. Mechanics Research Communications, 29(2-3):177–187, 2002.
  • A. P. S. Selvadurai, M. F. Hanss: Contaminant transport in a thin layer: the influence of fuzzy orthotropic diffusivity. Modelling and Simulation in Materials Science and Engineering, 11:57–75, 2003.
  • M. Hanss, S. Oexl, L. Gaul: FRF simulation of structural joints with uncertain parameters. PAMM – Proc. of Applied Mathematics and Mechanics, 3:106–107, 2003.
  • M. Hanss: The extended transformation method for the simulation and analysis of fuzzy-parameterized models. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 11(6):711–727, 2003.
  • M. Hanss, A. Klimke: On the reliability of the influence measure in the transformation method of fuzzy arithmetic. Fuzzy Sets and Systems, 143(3):371–390, 2004.
  • D. Brunner, J. Becker, M. Junge, M. Maess, J. Roseira, M. Hanss: A fuzzy boundary element method for acoustics. K. Willner, M. Hanss (eds.): Angewandte und Experimentelle Mechanik – Ein Querschnitt. Der Andere Verlag, Tönning, Lübeck und Marburg, 2006, pp. 25–45.
  • M. Hanss, U. Gauger, S. Turrin: Fuzzy arithmetical robustness analysis of automotive structures with uncertainties. K. Willner, M. Hanss (eds.): Angewandte und Experimentelle Mechanik – Ein Querschnitt. Der Andere Verlag, Tönning, Lübeck und Marburg, 2006, pp. 47–60.
  • O. Giannini, M. Hanss: The Component Mode Transformation Method: A fast implementation of fuzzy arithmetic for uncertainty management in structural dynamics. Journal of Sound and Vibration 311: 1340–1357, 2008.
  • U. Gauger, S. Turrin, M. Hanss, L. Gaul: A new uncertainty analysis for the transformation method. Fuzzy Sets and Systems 159(11):1273–1291, 2008.
  • O. Giannini, M. Hanss: An interdependency index for the outputs of uncertain systems. Fuzzy Sets and Systems 159(11):1292–1308, 2008.
  • M. Junge, D. Brunner, J. Becker, M. Maess, J. Roseira, M. Hanss: Combination of fuzzy arithmetic and a fast boundary element method for acoustic simulation with uncertainties. Journal of Computational Acoustics 17(1):45–69, 2009.
  • F. Fleissner, M. Hanss, T. Haag, P. Eberhard: Uncertainty analysis for a particle model of granular chute flow. Computer Modeling in Engineering & Sciences (CMES) – Special Issue on Contact Mechanics in the Engineering Sciences II 52(2): 181–196, 2009.
  • S. Turrin, M. Hanss, A. P. S. Selvadurai: An Approach to Uncertainty Analysis of Rockfall Simulation. Computer Modeling in Engineering & Sciences (CMES) – Special Issue on Contact Mechanics in the Engineering Sciences III 52(3): 237–258, 2009.
  • T. Haag, M. Hanss: Model assessment using inverse fuzzy arithmetic. E. Hüllermeier, R. Kruse, F. Hoffmann (eds.): Information Processing and Management of Uncertainty in Knowledge-Based Systems, Communications in Computer and Information Science, Volume 81, Part 5, Part 6, 461–470, 2010.
  • T. Haag, J. Herrmann, M. Hanss: An identification procedure for epistemic uncertainties using inverse fuzzy arithmetic. Mechanical Systems and Signal Processing 24(7): 2021–2034, 2010.
  • M. Hanss, S. Turrin: A fuzzy-based approach to comprehensive modeling and analysis of systems with epistemic uncertainties. Structural Safety 32(6): 433–441, 2010.
  • D. Moens, M. Hanss: Non-probabilistic finite element analysis for uncertainty treatment in applied mechanics: Recent advances. Finite Elements in Analysis and Design – Special Issue on Uncertainty in Structural Dynamics 47(1): 4–16, 2011.
  • M. Hanss, J. Herrmann, T. Haag: Vibration analysis of fluid-filled piping systems with epistemic uncertainties. A. K. Belyaev, R. S. Langley (eds.): IUTAM Symposium on the Vibration Analysis of Structures with Uncertainties, Saint Petersburg, Russia, 2009, 43–56, Springer, 2011.
  • T. Haag, M. Hanss: Comprehensive modeling of uncertain systems using fuzzy set theory. I. Elishakoff, C. Soize (eds.): Nondeterministic Mechanics, CISM Courses and Lectures, Vol. 539, Springer, Wien – New York, 2012.
  • W. Wieland, M. Hanss, S.-R. Mehra: Untersuchungen der Erschütterungsprognosegenauigkeit von Berechnungsmethoden durch baudynamische Messungen. LBP-Mitteilungen 6(42), 2012.

Artikel in Konferenzbänden

  • M. Hanss: Fuzzy-model-based control of biotechnological processes. H.-J. Zimmermann (ed.): Second European Congress on Intelligent Techniques and Soft Computing - EUFIT ’94, pp. 1044–1047, Aachen, 1994. Verlag der Augustinus Buchhandlung.
  • M. Hanss: Design and optimization of a nonlinear fuzzy controller using fuzzy process models. H.-J. Zimmermann (ed.): Fourth European Congress on Intelligent Techniques and Soft Computing - EUFIT ’96, pp. 1875–1880, Aachen, 1996. Verlag Mainz.
  • M. Hanss: Enhanced fuzzy modeling using special membership functions and fuzzy rule bases. Proc. of the 3rd IFAC Symposium on Intelligent Components and Instruments for Control Applications - SICICA ’97, pp. 561–566, Annecy, France, 1997.
  • M. Hanss: Fuzzy-logic-based system modeling and its application to nonlinear process control. A. Sydow (ed.): Proc. of the 15th IMACS World Congress on Scientific Computation, Modelling and Applied Mathematics, volume 4, pp. 431–436, Berlin, 1997. Wissenschaft & Technik Verlag.
  • M. Hanss: On developing enhanced fuzzy models for nonlinear process control. Proc. of the 16th Annual Meeting of the North American Fuzzy Information Processing Society - NAFIPS ’97, pp. 27–32, Syracuse, NY, USA, 1997.
  • M. Hanss, K. Willner, S. Guidati: On applying fuzzy arithmetic to finite element problems. Proc. of the 17th International Conference of the North American Fuzzy Information Processing Society - NAFIPS ’98, pp. 365–369, Pensacola Beach, FL, USA, 1998.
  • A. Kistner, M. Hanss: Enhanced fuzzy models for nonlinear process control. Proc. of the 8th Japanese-German Seminar on Nonlinear Problems in Dynamical Systems – Theory and Applications, pp. 61–70, Kobe, Japan, 1998.
  • K. Willner, M. Hanss: Finite element problems with uncertain parameters. Proc. of the 6th Pan-American Congress of Applied Mechanics - PACAM VI 1999, pp. 397–400, Rio de Janeiro, Brazil, 1999.
  • M. Hanss: On the implementation of fuzzy arithmetical operations for engineering problems. Proc. of the 18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS ’99, pp. 462–466, New York, NY, USA, 1999.
  • M. Hanss, K. Willner: On using fuzzy arithmetic to solve problems with uncertain model parameters. Proc. of the International Colloquium on Numerical Modelling of Uncertainties, pp. 85–92, Valenciennes, France, 1999.
  • M. Hanss: A nearly strict fuzzy arithmetic for solving problems with uncertainties. Proc. of the 19th International Conference of the North American Fuzzy Information Processing Society - NAFIPS 2000, pp. 439-443, Atlanta, GA, USA, 2000.
  • M. Hanss, O. Nehls: Simulation of the human glucose metabolism using fuzzy arithmetic. Proc. of the 19th International Conference of the North American Fuzzy Information Processing Society - NAFIPS 2000, pp. 201-205, Atlanta, GA, USA, 2000.
  • M. Hanss, L. Gaul: Simulation and analysis of a friction model with uncertain parameters using fuzzy arithmetic. Proc. of the 21st Iberian Latin American Congress on Computational Methods in Engineering - CILAMCE 2000 (CDROM), Rio de Janeiro, Brazil, 2000.
  • M. Hanss: A fuzzy arithmetical approach to robust control. Proc. of the Joint 9th IFSA and 20th NAFIPS International Conference (CDROM), Vancouver, BC, Canada, 2001.
  • M. Hanss, O. Nehls: Enhanced parameter identification for complex biomedical models on the basis of fuzzy arithmetic. Proc. of the Joint 9th IFSA and 20th NAFIPS International Conference (CDROM), Vancouver, BC, Canada, 2001.
  • M. Hanss, A. P. S. Selvadurai: Influence of fuzzy variability on the estimation of hydraulic conductivity of transversely isotropic geomaterials. Proc. of the NUMOG VIII – International Symposium on Numerical Models in Geomechanics, pp. 675–680, Rome, Italy, 2002.
  • M. Hanss, S. Oexl, L. Gaul: Simulation and analysis of structural joint models with uncertainties. Proc. of the Int. Conference on Structural Dynamics Modelling, pp. 165–174, Madeira, Portugal, 2002.
  • S. Oexl, M. Hanss, L. Gaul: Identification of a normally-loaded joint model with fuzzy parameters. Proc. of the Int. Conference on Structural Dynamics Modelling, pp. 175–184, Madeira, Portugal, 2002.
  • A. Kistner, M. Hanss, O. Nehls: A refined parameter identification technique for complex process models. Proc. of the 10th Japanese-German Seminar on Nonlinear Problems in Dynamical Systems – Theory and Applications, pp. 87–94, Hakui, Ishikawa, Japan, 2002.
  • L. Gaul, S. Oexl, M. Hanss: Inverse fuzzy arithmetic for model identification of bolted joints. Proc. of the 21st International Modal Analysis Conference – IMAC XXI (CDROM), Kissimmee, FL, USA, 2003.
  • M. Hanss: Simulation and analysis of fuzzy-parameterized models with the extended transformation method. Proc. of the 22nd NAFIPS International Conference, pp. 462–467, Chicago, IL, USA, 2003.
  • M. Hanss: An approach to inverse fuzzy arithmetic. Proc. of the 22nd NAFIPS International Conference, pp. 474–479, Chicago, IL, USA, 2003.
  • A. Kistner, M. Hanss, O. Nehls: A fuzzy sensitivity analysis for improved parameter identification in human metabolism models. Proc. of the IASTED International Conference on Intelligent Systems and Control (ISC 2003), pp. 57–62, Salzburg, Austria, 2003.
  • M. Hanss, A. Kistner: LQR design for systems with uncertain parameters. Proc. of the 48th International Scientific Colloquium (CDROM), Ilmenau, 2003.
  • M. Hanss, K. Willner: Fuzzy arithmetical modeling and simulation of vibrating structures with uncertain parameters. Proc. of the International Conference on Noise & Vibration Engineering – ISMA 2004, pp. 3079–3093, Leuven, Belgium, 2004.
  • M. Hanss, U. Gauger, L. Gaul: Modeling and simulation of vibrating automotive components with uncertain parameters using fuzzy arithmetic. Proc. of the 23rd International Modal Analysis Conference – IMAC XXIII, Orlando, FL, USA, 2005.
  • M. Hanss, K. Willner: On the use of fuzzy arithmetic for automotive crash simulations in the presence of uncertainty. Proc. of the 20th Canadian Congress of Applied Mechanics – CANCAM 2005, pp. 590–591, Montréal, QC, Canada, 2005.
  • U. Gauger, S. Turrin, M. Hanss, L. Gaul: On a generalized buckling problem with fuzzy-valued material and support parameters. Proc. of the 20th Canadian Congress of Applied Mechanics – CANCAM 2005, pp. 594–595, Montréal, QC, Canada, 2005.
  • K. Willner, M. Hanss: Fuzzy arithmetical modeling and simulation of structures with uncertain parameters. Proc. of the Third MIT Conference on Computational Fluid and Solid Mechanics, Cambridge, MA, USA, 2005.
  • U. Gauger, M. Hanss, L. Gaul: Fuzzy arithmetical finite element modeling of automotive components with uncertain parameters. Proc. of the 8th U.S. National Congress on Computational Mechanics, Austin, TX, USA, 2005.
  • U. Gauger, M. Hanss, L. Gaul: Fuzzy arithmetic for the finite element modeling of structures in the presence of uncertainty. Proc. of the 18th Symposium on Simulation Technique – ASIM 2005, Erlangen, Germany, 2005.
  • M. Hanss, A. Kistner: A hybrid fuzzy approach to optimal control of uncertain systems. Proc. of the International Conference on Systems, Man and Cybernetics – IEEE SMC 2005, pp. 1467–1472, Hawaii, USA, 2005.
  • M. Hanss: Fuzzy arithmetic – a new approach to modeling and simulation of uncertain systems. R. Mikut, M. Reischl (eds.): Proc. of the 15th Workshop Computational Intelligence, pp. 74–88, Dortmund, Germany, 2005.
  • M. Hanss, A. Pieringer, J. Becker, M. Maess, L. Gaul: Fuzzy analysis of actively damped piezoelectric structures with uncertainties. Proc. of the 24th International Modal Analysis Conference – IMAC XXIV, Saint Louis, MO, USA, 2006.
  • U. Gauger, M. Hanss, L. Gaul: On the inclusion of uncertain parameters in brake squeal analysis. Proc. of the 24th International Modal Analysis Conference – IMAC XXIV, Saint Louis, MO, USA, 2006.
  • O. Giannini, M. Hanss: Model reduction for uncertainty quantification of mechanical structures by the component mode transformation method. Proc. of the 9th International Conference on Recent Advances in Structural Dynamics – RASD 2006, Southampton, UK (paper# 103).
  • S. Turrin, M. Hanss, L. Gaul: Fuzzy arithmetical vibration analysis of a windshield with uncertain parameters. Proc. of the 9th International Conference on Recent Advances in Structural Dynamics – RASD 2006, Southampton, UK (paper# WIP 5).
  • M. Hanss, U. Gauger, S. Turrin: Fuzzy arithmetical robustness analysis of mechanical structures with uncertainties. Proc. of the 8th International Conference on Computational Structures Technology – CST 2006, Las Palmas de Gran Canaria, Spain (paper# 58).
  • O. Giannini, U. Gauger, M. Hanss: Analysis of the uncertain dynamic behavior of an automotive control unit using the component mode transformation method. Proc. of the International Conference on Noise & Vibration Engineering – ISMA 2006, pp. 1925–1933, Leuven, Belgium, 2006.
  • S. Turrin, M. Hanss, L. Gaul: Fuzzy uncertainty analysis in automotive crash simulation. Proc. of the International Conference on Noise & Vibration Engineering – ISMA 2006, pp. 2015–2021, Leuven, Belgium, 2006.
  • U. Gauger, M. Hanss, L. Gaul: Zur Simulation des Bremsenquietschens mit unsicheren Parameters. Proc. of the 33rd German Annual Conference on Acoustics – DAGA 2007, Stuttgart, Germany, 2007.
  • M. Hanss, J. Becker, M. Maess, L. Gaul: Fuzzy arithmetical analysis of smart structures with uncertainties. Proc. of the 1st International Conference on Uncertainty in Structural Dynamics – USD 2007, Sheffield, UK, 2007.
  • S. Turrin, M. Hanss: Fuzzy arithmetical uncertainty analysis - applications to automotive crash. Proc. of the 1st International Conference on Uncertainty in Structural Dynamics – USD 2007, pp. 69–78, Sheffield, UK, 2007.
  • S. Turrin, M. Hanss: Fuzzy arithmetical design optimization with respect to automotive crash. Proc. of the Euromech Colloquium 482 – Efficient Methods for Robust Design and Optimization, London, UK, 2007.
  • J. Becker, M. Maess, M. Hanss: Fuzzy arithmetical robustness analysis of a structural control system against uncertainty-induced spillover. Proc. of the International Conference on Systems, Man and Cybernetics – IEEE SMC 2007, Montréal, QC, Canada, 2007.
  • S. Turrin, M. Hanss: Structural design optimization using fuzzy arithmetic. Proc. of the RTO/AVT-147 Symposium on Computational Uncertainty, Athens, Greece, 2007.
  • S. Ackermann, L. Gaul, M. Hanss, and T. Hambrecht: PCA for Detection of Globally Important Input Parameters in Nonlinear Finite Element Analysis. Weimar Optimization and Stochastic Days 5.0, Weimar, 2008.
  • S. Turrin, M. Hanss, A. P. S. Selvadurai: An approach to uncertainty analysis of landslide problems. Proc. of the Leuven Symposium on Applied Mechanics in Engineering – LSAME.08, Leuven, Belgium, 2008.
  • F. Fleissner, M. Hanss, T. Haag, P. Eberhard: Analysis of granular chute flow based on a particle model including uncertainties. Proceedings of the 1st International Conference on Computational Contact Mechanics (ECCOMAS), Lecce, Italy, 2009.
  • T. Haag, P. Reuß, S. Turrin, M. Hanss: An inverse model updating procedure for systems with epistemic uncertainties. Proc. of the 2nd International Conference on Uncertainty in Structural Dynamics – USD 2009, pp. 116–125, Sheffield, UK, 2009.
  • T. Haag, P. Reuß, M. Hanss: An approach to the identification of uncertain surrogate models for complex systems. R. Hoffmann, E. Hüllermeier (eds.): Proc. of the 19th Workshop Computational Intelligence, pp. 50–60, Dortmund, Germany, 2009.
  • T. Haag, M. Hanss: Inverse fuzzy arithmetic for the identification of simplified friction models. Proc. of the IV European Conference on Computational Mechanics – ECCM 2010, Paris, France, 2010 (extended abstract only).
  • T. Haag, P. Reuß, M. Hanss: An inverse fuzzy arithmetical method for the validation, selection and optimization of models for mechanical systems. Proc. of the 3rd International Conference on Uncertainty in Structural Dynamics – USD 2010, Leuven, Belgium, 2010.
  • H. Netzmann, M. Hanss, L. Gaul: Application of selected uncertainty analysis methods to NVH development of motorcycle engines. Proc. of the 3rd International Conference on Uncertainty in Structural Dynamics – USD 2010, Leuven, Belgium, 2010.
  • C. Schaal, M. Hanss: Qualitätsbewertung von Modellen mittels Unsicherheitsanalysen für die wellengestützte Strukturüberwachung. Proc. of the 37th German Annual Conference on Acoustics – DAGA 2011, Düsseldorf, Germany, 2011.
  • S. Turrin, T. Haag, M. Hanss: A fuzzy arithmetical approach to the quantification of nonlinearity. Proc. of the 8th International Conference on Structural Dynamics – EURODYN 2011, Leuven, Belgium, 2011.
  • M. Hanss, J. Herrmann, T. Haag: Eine Methode zur Fluid-Struktur-Simulation unter Einbeziehung von Unsicherheiten. Kongress für Simulation im Produktentstehungsprozess – SIMPEP 2011, Veitshöchheim, Germany, 2011.
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