Abstract
The paper presents the concept of a rough fuzzy controller for traffic management in ATM networks. It is a very complex task due to the random nature of the traffic arrival parameters and the character of burst duration. We present the rough fuzzy controller, which contains the knowledge base described in linguistic terms. The relationship between decision rules and inference rules are interpreted from the rough set theory perspective. The presented approach may be treated as an alternative to artificial neural networks and fuzzy set theory.
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© 1999 Springer-Verlag Berlin Heidelberg
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Martyna, J. (1999). Traffic Control in an ATM Network Using Rough Set Theory. In: Reusch, B. (eds) Computational Intelligence. Fuzzy Days 1999. Lecture Notes in Computer Science, vol 1625. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48774-3_61
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DOI: https://doi.org/10.1007/3-540-48774-3_61
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-66050-7
Online ISBN: 978-3-540-48774-6
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