Fuzzy Logic in Decision Fusion for Situation Assessment
نویسنده
چکیده
We present results of situation assessment that: i) uses type 1 fuzzy logic (T1FL) for decision making/fusion in some aviation scenarios, ii) uses modified situation assessment (pilot’s mental-) models, and iii) can have noisy inputs to the situation assessment models. The results indicate that some existing fuzzy logic implication functions in decision making/fusion work very well. This beacons to newer possibilities of applications of fuzzy logic based decision fusion and situation assessment technology to varieties of aerospace/aviation problems and other dynamic systems for intelligent decision making.
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