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International Series in Intelligent Technologies

Uncertainty Analysis in Engineering and Sciences: Fuzzy Logic, Statistics, and Neural Network Approach

Editors: Ayyub, Bilal, Gupta, Madan M. (Eds.)

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About this book

Uncertainty has been of concern to engineers, managers and . scientists for many centuries. In management sciences there have existed definitions of uncertainty in a rather narrow sense since the beginning of this century. In engineering and uncertainty has for a long time been considered as in sciences, however, synonymous with random, stochastic, statistic, or probabilistic. Only since the early sixties views on uncertainty have ~ecome more heterogeneous and more tools to model uncertainty than statistics have been proposed by several scientists. The problem of modeling uncertainty adequately has become more important the more complex systems have become, the faster the scientific and engineering world develops, and the more important, but also more difficult, forecasting of future states of systems have become. The first question one should probably ask is whether uncertainty is a phenomenon, a feature of real world systems, a state of mind or a label for a situation in which a human being wants to make statements about phenomena, i. e. , reality, models, and theories, respectively. One cart also ask whether uncertainty is an objective fact or just a subjective impression which is closely related to individual persons. Whether uncertainty is an objective feature of physical real systems seems to be a philosophical question. This shall not be answered in this volume.

Table of contents (24 chapters)

Table of contents (24 chapters)

Buy this book

eBook 239,00 €
price for Spain (gross)
  • ISBN 978-1-4615-5473-8
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 300,56 €
price for Spain (gross)
Softcover 300,56 €
price for Spain (gross)
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Bibliographic Information

Bibliographic Information
Book Title
Uncertainty Analysis in Engineering and Sciences: Fuzzy Logic, Statistics, and Neural Network Approach
Editors
  • Bilal Ayyub
  • Madan M. Gupta
Series Title
International Series in Intelligent Technologies
Series Volume
11
Copyright
1998
Publisher
Springer US
Copyright Holder
Springer Science+Business Media New York
eBook ISBN
978-1-4615-5473-8
DOI
10.1007/978-1-4615-5473-8
Hardcover ISBN
978-0-7923-8030-6
Softcover ISBN
978-1-4613-7500-5
Series ISSN
1382-3434
Edition Number
1
Number of Pages
XXIV, 371
Topics

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