Interval-Related Talks at the International Conference on Fuzzy Systems, Neural Networks, and Genetic Algorithms FNG'05

Interval-Related Talks at the International Conference on Fuzzy Systems, Neural Networks, and... Reliable Computing (2006) 12: 247–251 DOI: 10.1007/s11155-006-7223-6  c Springer 2006 Interval-Related Talks at the International Conference on Fuzzy Systems, Neural Networks, and Genetic Algorithms FNG’05 Tijuana, Baja California, Mexico, October 13–14, 2005 In October 2005, the newly formed Hispanic American Fuzzy System Associa- tion (HAFSA) organized the International Conference on Fuzzy Systems, Neural Networks, and Genetic Algorithms FNG’05 in Tijuana, Mexico. The organizing committee of this conference included researchers from Argentina, Brazil, Chile, Colombia, Mexico, and Poland; presented papers were also authored by participants from other countries such as Cuba, Spain, and the USA. Main Theme of the Conference. As the name of the conference emphasizes, there are many different techniques for handling the uncertain character of our knowledge and for processing uncertain information: • fuzzy techniques help us to represent and process the uncertainty in the input data, namely uncertainty that comes from experts who use words from natural language like “x is approximately 5.0” to describe their uncertainty; • neural networks enable us to learn the dependence between different variables from examples, thus helping us to come up with a data processing algorithms ƒ which transforms easier-to-estimate variables x ,…, x into an estimate y = http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Reliable Computing Springer Journals

Interval-Related Talks at the International Conference on Fuzzy Systems, Neural Networks, and Genetic Algorithms FNG'05

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Publisher
Kluwer Academic Publishers
Copyright
Copyright © 2006 by Springer Science + Business Media, Inc.
Subject
Mathematics; Numeric Computing; Approximations and Expansions; Computational Mathematics and Numerical Analysis; Mathematical Modeling and Industrial Mathematics
ISSN
1385-3139
eISSN
1573-1340
D.O.I.
10.1007/s11155-006-7223-6
Publisher site
See Article on Publisher Site

Abstract

Reliable Computing (2006) 12: 247–251 DOI: 10.1007/s11155-006-7223-6  c Springer 2006 Interval-Related Talks at the International Conference on Fuzzy Systems, Neural Networks, and Genetic Algorithms FNG’05 Tijuana, Baja California, Mexico, October 13–14, 2005 In October 2005, the newly formed Hispanic American Fuzzy System Associa- tion (HAFSA) organized the International Conference on Fuzzy Systems, Neural Networks, and Genetic Algorithms FNG’05 in Tijuana, Mexico. The organizing committee of this conference included researchers from Argentina, Brazil, Chile, Colombia, Mexico, and Poland; presented papers were also authored by participants from other countries such as Cuba, Spain, and the USA. Main Theme of the Conference. As the name of the conference emphasizes, there are many different techniques for handling the uncertain character of our knowledge and for processing uncertain information: • fuzzy techniques help us to represent and process the uncertainty in the input data, namely uncertainty that comes from experts who use words from natural language like “x is approximately 5.0” to describe their uncertainty; • neural networks enable us to learn the dependence between different variables from examples, thus helping us to come up with a data processing algorithms ƒ which transforms easier-to-estimate variables x ,…, x into an estimate y =

Journal

Reliable ComputingSpringer Journals

Published: Jan 1, 2006

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