TY - JOUR A1 - Hawer, Sven A1 - Schönmann, Alexander A1 - Reinhart, Gunther T1 - Guideline for the Classification and Modelling of Uncertainty and Fuzziness JF - Procedia CIRP N2 - Methods for managing uncertainty and fuzziness caused by a turbulent and volatile corporate environment play an important role for ensuring long-term competitiveness of producing companies. It is often difficult for practitioners, to choose the optimal approach for modelling existing uncertainties in a meaningful way. This contribution provides a guideline for classification of uncertain information and fuzzy data based on a flowchart and proposes suitable modelling methods for each characterized uncertainty. In addition, a measure for modelability, the degree to which an uncertain or fuzzy parameter can be modelled, is proposed. The method is based on a literature review comprising a discussion of the terms uncertainty and fuzziness. UR - https://doi.org/10.1016/j.procir.2017.12.175 KW - Uncertainty KW - Fuzziness KW - Classification KW - Modelling KW - Probability theory Y1 - 2018 UR - https://doi.org/10.1016/j.procir.2017.12.175 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-33572 SN - 2212-8271 VL - 2018 IS - 67 SP - 52 EP - 57 PB - Elsevier CY - Amsterdam ER -