Abstract
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.
| Original language | English |
|---|---|
| Pages (from-to) | 52-57 |
| Number of pages | 6 |
| Journal | Procedia CIRP |
| Volume | 67 |
| DOIs | |
| State | Published - 2018 |
| Event | 11th CIRP International Conference on Intelligent Computation in Manufacturing Engineering, CIRP ICME 2017 - Ischia, Naples, Italy Duration: 19 Jul 2017 → 21 Jul 2017 |
Keywords
- Classification
- Fuzziness
- Modelling
- Probability theory
- Uncertainty
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