Fuzzy Logic in Engineering Ethics Analysis

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