Interval-Related Talks at the North American Fuzzy Information Processing Society Annual Conference NAFIPS’06

Interval-Related Talks at the North American Fuzzy Information Processing Society Annual... Reliable Computing (2007) 13: 109–111 DOI: 10.1007/s11155-006-9017-2  c Springer 2007 Interval-Related Talks at the North American Fuzzy Information Processing Society Annual Conference NAFIPS’06 Montreal, Quebec, Canada, June 3–6, 2006 On June 3–6, 2006, the annual conference of the North American Fuzzy Infor- mation Processing Society (NAFIPS) was held in Montreal, Quebec, Canada. The main objective of this conference was to bring together researchers, engineers and practitioners to present the latest achievements and innovations in the area of fuzzy information processing, to discuss thought-provoking developments and challenges, and to consider potential future directions. The relation between fuzzy and interval techniques is well known in fuzzy community; e.g., due to the fact that a fuzzy number can be represented as a nested family of intervals (alpha-cuts), level-by-level interval techniques are often used to process fuzzy data. At present, researchers in fuzzy data processing mainly used interval techniques originally designed for non-fuzzy applications, techniques which are often taken from textbooks and are, therefore, already outperformed by more recent and more efficient methods. It is therefore desirable to make the fuzzy community at-large better acquainted with the latest, most efficient interval techniques, especially with techniques specifically developed for solving fuzzy-related problems. For http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Reliable Computing Springer Journals

Interval-Related Talks at the North American Fuzzy Information Processing Society Annual Conference NAFIPS’06

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Publisher
Kluwer Academic Publishers
Copyright
Copyright © 2007 by Springer Science + Business Media B.V.
Subject
Mathematics; Numeric Computing; Mathematical Modeling and Industrial Mathematics; Approximations and Expansions; Computational Mathematics and Numerical Analysis
ISSN
1385-3139
eISSN
1573-1340
D.O.I.
10.1007/s11155-006-9017-2
Publisher site
See Article on Publisher Site

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