A Fuzzy Inference Expert System to Support the Decision of Deploying a Military Naval Unit to a Mission

  • Authors:
  • Giuseppe Aiello;Antonella Certa;Mario Enea

  • Affiliations:
  • Dipartimento di Tecnologia Meccanica, Produzione ed Ingegneria Gestionale, Università degli Studi di Palermo, Palermo, Italy 90128;Dipartimento di Tecnologia Meccanica, Produzione ed Ingegneria Gestionale, Università degli Studi di Palermo, Palermo, Italy 90128;Dipartimento di Tecnologia Meccanica, Produzione ed Ingegneria Gestionale, Università degli Studi di Palermo, Palermo, Italy 90128

  • Venue:
  • WILF '09 Proceedings of the 8th International Workshop on Fuzzy Logic and Applications
  • Year:
  • 2009

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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.