Abstract
Naval military units are complex systems required to operate in fixed time frames in offshore tasks where maintenance operations are drastically limited. A failure during a mission is a critical event that can drastically influence the mission success. The decision of switching a unit to a mission hence requires complex judgments involving information about the health status of machineries and the environmental conditions. The present procedure aims to support the decision about switching a unit to a mission considering the vagueness and uncertainty of information by means of fuzzy theory and emulates the decision process of a human expert by means of a rule-based inference engine. A numerical application is presented to prove the effectiveness of the approach.
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Aiello, G., Certa, A., Enea, M. (2009). A Fuzzy Inference Expert System to Support the Decision of Deploying a Military Naval Unit to a Mission. In: Di Gesù, V., Pal, S.K., Petrosino, A. (eds) Fuzzy Logic and Applications. WILF 2009. Lecture Notes in Computer Science(), vol 5571. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02282-1_40
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DOI: https://doi.org/10.1007/978-3-642-02282-1_40
Publisher Name: Springer, Berlin, Heidelberg
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