LASER THREAT RECOGNITION BASED ON FUZZY SET-THEORY

Authors
LIAO TW GONG XK
Citation
Tw. Liao et Xk. Gong, LASER THREAT RECOGNITION BASED ON FUZZY SET-THEORY, Information and decision technologies, 19(5), 1994, pp. 445-453
Citations number
13
Categorie Soggetti
System Science","Operatione Research & Management Science
Journal title
Information and decision technologies → ACNP
ISSN journal
09230408
Volume
19
Issue
5
Year of publication
1994
Pages
445 - 453
Database
ISI
SICI code
0923-0408(1994)19:5<445:LTRBOF>2.0.ZU;2-O
Abstract
A fuzzy approach to semantic pattern recognition of laser threats is p roposed. The fuzzy characteristics of feature values of laser threat p atterns are first described. The computation of membership values for laser threats are then discussed. Finally, using the error recognition rate as the criterion, the performances of different aggregation conn ectives for laser threat pattern recognition are compared. It is shown that the proposed approach for laser threat recognition can achieve a n 89% successful recognition rate.