The Lattice of Verbal Fuzzy Numbers in IP-Traffic Prediction

Document type: Conference Papers
Peer reviewed: Yes
Full text:
Author(s): Elisabeth Rakus-Andersson
Title: The Lattice of Verbal Fuzzy Numbers in IP-Traffic Prediction
Conference name: XVIth European Conference on Artificial Intelligence, 2nd International Workshop on Adaptive Multimedia Retrieval
Year: 2004
Pagination: 114-129
Publisher: Otto-von-Guericke-University Magdeburg
City: Valencia
Organization: Blekinge Institute of Technology
Department: School of Engineering - Dept. Mathematics and Science (Sektionen för teknik – avd. för matematik och naturvetenskap)
School of Engineering S- 371 79 Karlskrona
+46 455 38 50 00
Authors e-mail:
Language: English
Abstract: Fuzzy numbers constitute a helpful tool for some users who deal with imprecise data. To facilitate a procedure of performing operations on fuzzy numbers for these users who do not possess deep mathematical qualifications, we introduce a special space of fuzzy numbers verbally defined. This consists of families of fuzzy numbers in the L-R form provided that every family has a common mean value. We not only discuss some properties of the space, but also propose new conceptions of the arithmetical operations on the verbally expressed fuzzy numbers. The classification of the IP-traffic can act as a practical aspect, which clarifies the theoretical assumptions formulated in the paper.
Subject: Computer Science\Artificial Intelligence
Keywords: Verbal fuzzy numbers, LR representation, Dubois-Prade norms, IP-traffic classification