Title :
A knowledge-based reasoning system for ship identification
Author :
Guo, G. ; Lu, C.M.
Abstract :
A knowledge-based reasoning procedure of an expert system for ship identification is presented. The problem of identification in an approximate reasoning system described by likelihood implication is considered. The identification method and its performance index are also presented. This method makes use of fuzzy relation systems, recursive identification algorithms and clustering techniques. The theoretical and experimental results indicate a high reliability for ship identification
Keywords :
expert systems; military computing; military systems; clustering techniques; expert system; fuzzy relation systems; knowledge-based reasoning procedure; likelihood implication; performance index; recursive identification algorithms; reliability; ship identification; Expert systems; Fuzzy systems; Humans; Knowledge engineering; Marine vehicles; Performance analysis; Radar imaging; Real time systems; Target recognition; Uncertainty;
Conference_Titel :
Aerospace and Electronics Conference, 1988. NAECON 1988., Proceedings of the IEEE 1988 National
Conference_Location :
Dayton, OH
DOI :
10.1109/NAECON.1988.195157
