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
Reliable Computing – Springer Journals
Published: Nov 22, 2006
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