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Abstract

This paper represents an addendum to an earlier paper published by the same research group in SIMULATION in 1989. In the earlier paper, a crisp inductive reasoner had been employed to qualitatively reason about the behavior of a quantitatively simulated B- 747 aircraft, to determine when a structural malfunction occurs, to hypothesize about the nature of this malfunction, and to decide upon a global strategy that allows operation of the quantitative aircraft model under the modified flying conditions.

In the addendum, the formerly crisp inductive reasoner has been replaced by a fuzzy inductive reasoner. The paper demonstrates the enhanced discriminatory power and the improved forecasting capability of the modified reasoning scheme. In addition, the fuzzy inductive reasoner allows prediction of a quasi-continuous response spectum, whereas the crisp inductive reasoner was able to predict discrete (class) values only.

Keywords

Qualitative simulation inductive reasoning fault detection fault characterization decision-making

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References

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Building Intelligence Into an Autopilot -- Using Qualitative Simulation to Support Global Decision Making

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