Interval-Related Talks at the 2007 IEEE Symposium Series on Computational Intelligence

Interval-Related Talks at the 2007 IEEE Symposium Series on Computational Intelligence Reliable Computing (2007) 13:435– 440 DOI: 10.1007/s11155-007-9040-y © Springer 2007 Interval-Related Talks at the 2007 IEEE Symposium Series on Computational Intelligence Honolulu, Hawaii, April 1–5, 2007 Symposium Series. On April 1–5, 2007, IEEE Computational Intelligence Society organized the first Symposium Series on Computational Intelligence in Honolulu, Hawaii. The main objective of this series is to bring together researchers and practitioners from different areas related to computational intelligence, so that they can learn new techniques and hopefully start fruitful combination of different techniques and approaches. In particular, one of the corresponding symposia—Symposium on Foundations of Computational Intelligence FOCI’07—had a special session on interval method- ologies. Several other interval-related talks were presented at other session and other symposia. The interest in interval computations was emphasized by Jerry Mendel from the University of Southern California, one of the leaders in using interval techniques in computational intelligence, and a co-Chair of FOCI’07. Interval computations and computational intelligence. Interval computations are naturally related to computational intelligence, especially to fuzzy techniques. In the fuzzy techniques, to formalize a common-sense term like “small,” we do not simply divide all the values (of, say, height) into small and non-small ones. Instead, we assign to each possible value Reliable Computing Springer Journals

Interval-Related Talks at the 2007 IEEE Symposium Series on Computational Intelligence

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Springer Netherlands
Copyright © 2007 by Springer Science + Business Media B.V.
Mathematics; Numeric Computing; Mathematical Modeling and Industrial Mathematics; Approximations and Expansions; Computational Mathematics and Numerical Analysis
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