Interval-Related Talks at the Second International Conference on Fuzzy Sets and Soft Computing in Economics and Finance

Interval-Related Talks at the Second International Conference on Fuzzy Sets and Soft Computing in... Reliable Computing (2007) 13: 113–117 DOI: 10.1007/s11155-006-9018-1  c Springer 2007 Interval-Related Talks at the Second International Conference on Fuzzy Sets and Soft Computing in Economics and Finance St. Petersburg, Russia, June 28—July 1, 2006 On June 28—July 1, 2006, an International Conference on Fuzzy Sets and Soft Computing in Economics and Finance was held in St. Petersburg, Russia. The main motivation for this conference was that in financial and economic situations, most parameters are known with uncertainty. It is therefore important to take this uncertainty into account when processing financial and economic data. Traditionally, the uncertainty in economics and finance is described by statistical models. This description is the basis of the current financial mathematics, that started largely with the Nobel-prize winning work of Black and Scholes who applied stochastic differential equations to the pricing of options. One of the main limitations of the traditional probabilistic approach to uncer- tainty is that this approach requires that we known the exact values of all the relevant probabilities. In many situations in science and engineering, the processes are reasonably sta- tionary, so in principle, by making sufficiently many calibration measurements, we can determine—with reasonable accuracy—all the probabilities related to measure- http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Reliable Computing Springer Journals

Interval-Related Talks at the Second International Conference on Fuzzy Sets and Soft Computing in Economics and Finance

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Publisher
Kluwer Academic Publishers
Copyright
Copyright © 2007 by Springer Science + Business Media B.V.
Subject
Mathematics; Numeric Computing; Mathematical Modeling and Industrial Mathematics; Approximations and Expansions; Computational Mathematics and Numerical Analysis
ISSN
1385-3139
eISSN
1573-1340
D.O.I.
10.1007/s11155-006-9018-1
Publisher site
See Article on Publisher Site

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