Ein Fuzzy-Prädikator für Bioprozesse. - Michael Hanss (Fuzzy Days, 1994)

Identifikation von Fuzzy-Modellen und ihre Anwendung zur Regelung nichtlinearer Prozesse. - Michael Hanss (1998)

The transformation method for the simulation and analysis of systems with uncertain parameters. - Michael Hanss (Fuzzy Sets Syst., 2002)

The Extended Transformation Method For The Simulation And Analysis Of Fuzzy-Parameterized Models. - Michael Hanss (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2003)

On the reliability of the influence measure in the transformation method of fuzzy arithmetic. - Michael Hanss; Andreas Klimke (Fuzzy Sets Syst., 2004)

A Hybrid Fuzzy Approach to Optimal Control of Uncertain Systems. - Michael Hanss; Arnold Kistner (SMC, 2005)

Fuzzy arithmetical robustness analysis of a structural control system against uncertainty-induced spillover. - Jens Becker; Matthias Maess; Michael Hanss (SMC, 2007)

A new uncertainty analysis for the transformation method. - U. Gauger; S. Turrin; Michael Hanss; L. Gaul (Fuzzy Sets Syst., 2008)

An interdependency index for the outputs of uncertain systems. - Oliviero Giannini; Michael Hanss (Fuzzy Sets Syst., 2008)

Model Assessment Using Inverse Fuzzy Arithmetic. - Thomas Haag; Michael Hanss (IPMU (2), 2010)

Fuzzy Arithmetic for Uncertainty Analysis. - Michael Hanss (On Fuzziness (1), 2013)

Fuzzy arithmetical controller design for active road vehicle suspension in the presence of uncertainties. - Andreas Hofmann; Michael Hanss (MMAR, 2017)

Consistent Inverse Probability and Possibility Propagation. - Dominik Hose; Michael Hanss (EUSFLAT Conf., 2019)

Fuzzy linear least squares for the identification of possibilistic regression models. - Dominik Hose; Michael Hanss (Fuzzy Sets Syst., 2019)

On data-based estimation of possibility distributions. - Dominik Hose; Michael Hanss (Fuzzy Sets Syst., 2020)

Dependent Possibilistic Arithmetic using Copulas. - Ander Gray; Dominik Hose; Marco de Angelis 002; Michael Hanss; Scott Ferson (ISIPTA, 2021)

A Recursive Formulation of Possibilistic Filters. - Dominik Hose; Michael Hanss (ISIPTA, 2021)

A universal approach to imprecise probabilities in possibility theory. - Dominik Hose; Michael Hanss (Int. J. Approx. Reason., 2021)

A Practical Strategy for Valid Partial Prior-Dependent Possibilistic Inference. - Dominik Hose; Michael Hanss; Ryan Martin (BELIEF, 2022)