Title :
A fuzzy expert system for submarine damage control
Author :
Shi, Xiaocheng ; Wang, Yunlong ; Li, Juan ; Qu, Ying
Author_Institution :
Dept. of Autom., Harbin Eng. Univ., Harbin, China
Abstract :
A fuzzy expert system used in damaged submarines is developed in this paper to provide useful information for submarine commanders. It uses the methods of fuzzy logic and certainty factor to achieve uncertainty reasoning and ranks inference results according to their certainty factors, even when the provided information is uncertain and uncompleted. The ability of the developed fuzzy expert system is well simulated to the real situations through sample applications.
Keywords :
expert systems; fuzzy logic; inference mechanisms; uncertainty handling; underwater vehicles; certainty factor; fuzzy expert system; fuzzy logic; inference ranking; submarine commanders; submarine damage control; uncertainty reasoning; Control systems; Expert systems; Fuzzy logic; Fuzzy reasoning; Hybrid intelligent systems; Navigation; Sea measurements; Uncertainty; Underwater vehicles; Velocity measurement; FuzzyCLIPS; damage control; fuzzy expert system; uncertainty reasoning;
Conference_Titel :
Mechatronics and Automation, 2009. ICMA 2009. International Conference on
Conference_Location :
Changchun
Print_ISBN :
978-1-4244-2692-8
Electronic_ISBN :
978-1-4244-2693-5
DOI :
10.1109/ICMA.2009.5246494