• search hit 7 of 16
Back to Result List

Guideline for the Classification and Modelling of Uncertainty and Fuzziness

  • 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.

Download full text files

Export metadata

Additional Services

Search Google Scholar
Metadaten
Author:Sven Hawer, Alexander SchönmannORCiD, Gunther Reinhart
Language:English
Document Type:Article
Conference:11th CIRP Conference on Intelligent Computation in Manufacturing Engineering, Gulf of Naples (Italy), 19.-21.07.2017
Year of first Publication:2018
published in (English):Procedia CIRP
Publisher:Elsevier
Place of publication:Amsterdam
ISSN:2212-8271
Volume:2018
Issue:67
First Page:52
Last Page:57
Review:peer-review
Open Access:ja
Version:published
Tag:Classification; Fuzziness; Modelling; Probability theory; Uncertainty
URN:urn:nbn:de:bvb:573-33572
Related Identifier:https://doi.org/10.1016/j.procir.2017.12.175
Licence (German):License Logo Creative Commons BY-NC-ND 4.0
Release Date:2023/04/03