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http://dx.doi.org/10.3745/KIPSTB.2002.9B.3.263

Performance Improvement of the Intelligent System for the Fire Fighting Control using Rule-based and Case-based Reasoning by Clustering in a Ship  

Hyeon, U-Seok (Dept. of Information Science, Korean Bible University)
Abstract
Most conventional systems of fire fighting control in a ship have been based on rule-based system in which expert knowledges are expressed with production rules. Renewing and adding of rules is needed continuously for the improvement of the system capability in an already build-up system and such adding and renewing procedures could hinder users from fluent utilization of a system. The author proposes an advanced fire fighting control intelligent system (A-FFIS) using rule-based and carte-based reasoning by clustering to implement conventional hybrid system (H-FFIS). Compared with H-FFIS, new approach with A-FFIS shows that the system proposed here improves fire detection rate and reduces fire detection time.
Keywords
fire fighting control; rule-based reasoning; case-based reasoning; clustering; intelligent system;
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