Title

Fuzzy Logic in Engineering Ethics Analysis

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.

Meeting Name

38th ASEE Midwest Section Conference (2003: Sep. 10-12, Rolla, MO)

Department(s)

Electrical and Computer Engineering

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2003 American Society for Engineering Education (ASEE), All rights reserved.

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