Search Results

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

Download or Read eBook Uncertainty Analysis in Engineering and Sciences: Fuzzy Logic, Statistics, and Neural Network Approach PDF written by Bilal Ayyub and published by Springer Science & Business Media. This book was released on 1997-10-31 with total page 414 pages. Available in PDF, EPUB and Kindle.
Uncertainty Analysis in Engineering and Sciences: Fuzzy Logic, Statistics, and Neural Network Approach
Author :
Publisher : Springer Science & Business Media
Total Pages : 414
Release :
ISBN-10 : 0792380304
ISBN-13 : 9780792380306
Rating : 4/5 (04 Downloads)

Book Synopsis Uncertainty Analysis in Engineering and Sciences: Fuzzy Logic, Statistics, and Neural Network Approach by : Bilal Ayyub

Book excerpt: 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.


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

Uncertainty Analysis with High Dimensional Dependence Modelling
Language: en
Pages: 302
Authors: Dorota Kurowicka
Categories: Mathematics
Type: BOOK - Published: 2006-10-02 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

Mathematical models are used to simulate complex real-world phenomena in many areas of science and technology. Large complex models typically require inputs who
Uncertainty Modelling and Analysis
Language: en
Pages: 568
Authors: Bilal M. Ayyub
Categories: Computers
Type: BOOK - Published: 1994 - Publisher: Elsevier Publishing Company

DOWNLOAD EBOOK

Vital information on machine intelligence and pattern recognition is provided by this publication. In particular, the 31 papers discuss the ways in which uncert
Uncertainty Modeling and Analysis in Engineering and the Sciences
Language: en
Pages: 401
Authors: Bilal M. Ayyub
Categories: Business & Economics
Type: BOOK - Published: 2006-05-25 - Publisher: CRC Press

DOWNLOAD EBOOK

Engineers and scientists often need to solve complex problems with incomplete information resources, necessitating a proper treatment of uncertainty and a relia
Uncertainty Analysis and Reservoir Modeling
Language: en
Pages: 329
Authors: Y. Zee Ma
Categories: Science
Type: BOOK - Published: 2011-12-20 - Publisher: AAPG

DOWNLOAD EBOOK

Uncertainty Modelling in Data Science
Language: en
Pages: 246
Authors: Sébastien Destercke
Categories: Technology & Engineering
Type: BOOK - Published: 2018-07-24 - Publisher: Springer

DOWNLOAD EBOOK

This book features 29 peer-reviewed papers presented at the 9th International Conference on Soft Methods in Probability and Statistics (SMPS 2018), which was he
Scroll to top