Skip to content
Back to outputs

Advanced modelling of complex processes by rule-based networks

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)peer-review

Standard

Advanced modelling of complex processes by rule-based networks. / Gegov, Alexander; Petrov, Nedyalko; Vatchova, B.

Intelligent Systems (IS), 2010 5th IEEE International Conference. IEEE, 2010. p. 197-202.

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)peer-review

Harvard

Gegov, A, Petrov, N & Vatchova, B 2010, Advanced modelling of complex processes by rule-based networks. in Intelligent Systems (IS), 2010 5th IEEE International Conference. IEEE, pp. 197-202, International Conference on Intelligent Systems, United Kingdom, 1/01/10.

APA

Gegov, A., Petrov, N., & Vatchova, B. (2010). Advanced modelling of complex processes by rule-based networks. In Intelligent Systems (IS), 2010 5th IEEE International Conference (pp. 197-202). IEEE.

Vancouver

Gegov A, Petrov N, Vatchova B. Advanced modelling of complex processes by rule-based networks. In Intelligent Systems (IS), 2010 5th IEEE International Conference. IEEE. 2010. p. 197-202

Author

Gegov, Alexander ; Petrov, Nedyalko ; Vatchova, B. / Advanced modelling of complex processes by rule-based networks. Intelligent Systems (IS), 2010 5th IEEE International Conference. IEEE, 2010. pp. 197-202

Bibtex

@inbook{fc7e12cf7d8d427394fbbce16a421b14,
title = "Advanced modelling of complex processes by rule-based networks",
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.",
author = "Alexander Gegov and Nedyalko Petrov and B. Vatchova",
note = "Additional Information: DOI: 10.1109/IS.2010.5548336.; International Conference on Intelligent Systems ; Conference date: 01-01-2010",
year = "2010",
language = "English",
isbn = "9781424451630",
pages = "197--202",
booktitle = "Intelligent Systems (IS), 2010 5th IEEE International Conference",
publisher = "IEEE",

}

RIS

TY - CHAP

T1 - Advanced modelling of complex processes by rule-based networks

AU - Gegov, Alexander

AU - Petrov, Nedyalko

AU - Vatchova, B.

N1 - Additional Information: DOI: 10.1109/IS.2010.5548336.

PY - 2010

Y1 - 2010

N2 - 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.

AB - 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.

M3 - Chapter (peer-reviewed)

SN - 9781424451630

SP - 197

EP - 202

BT - Intelligent Systems (IS), 2010 5th IEEE International Conference

PB - IEEE

T2 - International Conference on Intelligent Systems

Y2 - 1 January 2010

ER -

ID: 117993