DocumentCode :
3532381
Title :
Advanced modelling of complex processes by rule based networks
Author :
Gegov, Alexander ; Petrov, Nedyalko ; Vatchova, Boriana
Author_Institution :
Sch. of Comput., Univ. of Portsmouth, Portsmouth, UK
fYear :
2010
fDate :
7-9 July 2010
Firstpage :
197
Lastpage :
202
Abstract :
This work presents an application of the novel theory of rule based networks for building models of processes characterised by uncertainty, non-linearity, modular structure and internal interactions. The application of the theory is demonstrated for a flotation process in the context of converting a multiple rule based system into an equivalent single rule based system by linguistic composition of the individual rule bases. During the conversion process, the transparency of the multiple rule based system is fully preserved while its accuracy is improved to a level comparable with the accuracy of the single rule based system.
Keywords :
fuzzy logic; knowledge based systems; large-scale systems; uncertainty handling; complex processes modelling; flotation process; modular structure; nonlinearity; rule based networks; uncertainty; Application software; Buildings; Communication systems; Computer networks; Context modeling; Fuzzy logic; Fuzzy systems; Knowledge based systems; Mathematical model; Uncertainty; complex processes; fuzzy logic; rule based networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Systems (IS), 2010 5th IEEE International Conference
Conference_Location :
London
Print_ISBN :
978-1-4244-5163-0
Electronic_ISBN :
978-1-4244-5164-7
Type :
conf
DOI :
10.1109/IS.2010.5548336
Filename :
5548336
Link To Document :
بازگشت