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- W2151405033 abstract "Qualitative reasoning makes use of qualitative assessments provided by subject matter experts to model factors such as security risk. Confidence in a result is important and useful when comparing competing results. Quantifying the confidence in an evidential reasoning result must be consistent and based on the available information. A novel method is proposed to relate confidence to the available information uncertainty in the result using fuzzy sets. Information uncertainty can be quantified through measures of non-specificity and conflict. Fuzzy values for confidence are established from information uncertainty values that lie between the measured minimum and maximum information uncertainty values." @default.
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- W2151405033 date "2011-03-01" @default.
- W2151405033 modified "2023-09-26" @default.
- W2151405033 title "Relating confidence to measured information uncertainty in qualitative reasoning" @default.
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- W2151405033 doi "https://doi.org/10.1109/nafips.2011.5751910" @default.
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