Towards Real World Applications: Interval-Related Talks at NAFIPS'05

Towards Real World Applications: Interval-Related Talks at NAFIPS'05 (2006) Reliable Computing 12: 73–77 DOI: 10.1007/s11155-006-2970-y c Springer 2006 Towards Real World Applications: Interval-Related Talks at NAFIPS’05 On June 22–25, 2005, the 24th Annual Conference of the North American Fuzzy Information Processing Society NAFIPS’05 was held in Ann Arbor, Michigan, USA. Themain emphasis of this conference was on real world applications of soft computing. In line with this emphasis, the conference was sponsored not only by IEEE and the universities, but also by industrial sponsors, the largest of which was the Ford Motor Company. Forreal world applications, we need to combine different types of uncertainty. Many different techniques have been proposed to handle different types of infor- mation about uncertainty: Interval computations deal with interval uncertainty, statistical techniques deal with the situations in which we know the probabilities, fuzzy techniques deal with the situations when we only have expert knowledge formulated in terms of words from a natural language, etc. In many real world applications, different pieces of information come with dif- ferent uncertainty: e.g., we may know the distribution of one of the variables and the interval of possible values of the other variable. In such situations, it is desirable to develop techniques that would combine different Reliable Computing Springer Journals

Towards Real World Applications: Interval-Related Talks at NAFIPS'05

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Kluwer Academic Publishers
Copyright © 2006 by Springer Science + Business Media, Inc.
Mathematics; Numeric Computing; Approximations and Expansions; Computational Mathematics and Numerical Analysis; Mathematical Modeling and Industrial Mathematics
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