Naval military units are complex systems required to operate in xed time frames in o shore tasks where maintenance operations are drastically limited. A failure during a mission is a critical event that can drastically in uence 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 e ectiveness of the approach.
Certa, A., Aiello, G., Enea, M. (2009). A Fuzzy inference expert system to support the decision of deploying a military naval unit to a mission. In Fuzzy Logic and Applications. 8th International Workshop, WILF 2009 Palermo, Italy, June 9-12, 2009 Proceedings (pp.320-327). Springer [10.1007/978-3-642-02282-1_40].
A Fuzzy inference expert system to support the decision of deploying a military naval unit to a mission
CERTA, Antonella;AIELLO, Giuseppe;ENEA, Mario
2009-01-01
Abstract
Naval military units are complex systems required to operate in xed time frames in o shore tasks where maintenance operations are drastically limited. A failure during a mission is a critical event that can drastically in uence 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 e ectiveness of the approach.File | Dimensione | Formato | |
---|---|---|---|
A fuzzy inference expert system-aiello-ce.pdf
accesso aperto
Dimensione
121.29 kB
Formato
Adobe PDF
|
121.29 kB | Adobe PDF | Visualizza/Apri |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.