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.
D. C. Wunsch, "Fuzzy Logic in Engineering Ethics Analysis," Proceedings of the 2003 ASEE Midwest Section Meeting, American Society for Engineering Education (ASEE), Jan 2003.
38th ASEE Midwest Section Conference (2003: Sep. 10-12, Rolla, MO)
Electrical and Computer Engineering
Article - Conference proceedings
© 2003 American Society for Engineering Education (ASEE), All rights reserved.
01 Jan 2003