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 =
Reliable Computing – Springer Journals
Published: Jan 1, 2006
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