Title :
A decision system to detect a state evolution of a complex system
Author :
Boutleux, Emmanuel ; Dubuisson, Bernard
Author_Institution :
Univ. de Technol. de Compiegne, France
Abstract :
From observations related to the French telephone network a decision system based on a fuzzy pattern recognition is proposed. The aim is to follow a complex system state evolution owing to appropriated membership function defined during the training phase. The decision system originality consists in following the system state evolution among all the combinations of couples of known functional states. The proposed system is built up in order to be applied to any complex system
Keywords :
decision theory; fuzzy set theory; large-scale systems; pattern recognition; statistical analysis; French telephone network; complex system; decision system; functional states; fuzzy pattern recognition; membership function; state evolution; Fuzzy systems; Knowledge management; Noise reduction; Pattern recognition; Prototypes; Real time systems; Telecommunication traffic; Telephony;
Conference_Titel :
Systems, Man and Cybernetics, 1995. Intelligent Systems for the 21st Century., IEEE International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-2559-1
DOI :
10.1109/ICSMC.1995.537853
