Abstract
Many quantities of interest in ethics analysis: reasonable person, worthwhile goal, serious consequences, responsible risk, likelihood of failure, reliability of predictions, special responsibilities (personal, membership, skill-based) – are well-represented by linguistic variables denoted by fuzzy membership functions. This is a natural extension of fuzzy logic applications in high-consequence risk analysis. The common property is information that is not as well portrayed by other methods of representing uncertainty.
| Original language | American English |
|---|---|
| Journal | Proceedings of the 2003 ASEE Midwest Section Meeting |
| State | Published - Jan 1 2003 |
Disciplines
- Electrical and Computer Engineering
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