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Fuzzy Logic in Engineering Ethics Analysis

    Research output: Contribution to journalArticlepeer-review

    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 languageAmerican English
    JournalProceedings of the 2003 ASEE Midwest Section Meeting
    StatePublished - Jan 1 2003

    Disciplines

    • Electrical and Computer Engineering

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