Qualitative Simulation Applied to Reason Inductively About the Behavior of a Quantitatively Simulated Aircraft Model

Abstract

In this paper, qualitative simulation based on fuzzy measures is applied to reason inductively about the behaviour of a quantitatively simulated B-747 aircraft model, to determine when a structural malfunction occurs, to hypothesize about the nature of this malfunction, and to decide upon a global strategy that allows to operate the quantitative aircraft model under the modified flying conditions.

In an earlier paper [Vesanterä and Cellier, 1989], a crisp inductive reasoner had been employed for the same purpose. The new paper demonstrates the enhanced discriminatory power and the improved forecasting capability of the fuzzy inductive reasoner in comparison with the crisp inductive reasoner when applied to this problem. Also, the fuzzy inductive reasoner allows to predict a quasi-continuous response spectrum, whereas the crisp inductive reasoner is able to predict discrete (class) values only.

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Last modified: January 19, 2006 -- © François Cellier