Uncertainty Forecasting in Engineering

Bernd Möller, Uwe Reuter

$214.95 $172.08

Hardback

Not in-store but you can order this
How long will it take?

Availability Information

We source books from suppliers in Australia and overseas. For books we don't currently have in stock, the time it takes to get them from our suppliers can vary widely - from a few days to a few months - so we check each book with each supplier to determine the expected time it will take to be supplied to us.

We then advise you accordingly. If the time taken to get any book is too long for you, you can let us know and we will cancel or adjust your order, and refund as required.

To find out the anticipated arrival time for specific items prior to ordering, please contact us by phone or email:

Phone +61 2 9264 3111, or 1800 4 BOOKS (1800 4 26657) if outside Sydney:
option 1 Abbey's Bookshop (Crime, History, Science, Kids & more) • info@abbeys.com.au
option 2 Language Book Centre (ESL & Foreign Languages) • language@abbeys.com.au
option 3 Galaxy Bookshop (Sci-fi, Fantasy, Romance, Graphic Novels) • sf@galaxybooks.com.au

QTY:

English

Springer-Verlag Berlin and Heidelberg GmbH & Co. K
21 August 2007

Fuzzy set theory; Reliability engineering

Forecasting is fascinating. Who wouldn’t like to cast a glimpse into the future? Far removed from metaphysics, mathematical methods such as time-lapse techniques, time series or arti?cial neural netwoks o?er a rational means of achieving this. A precondition for the latter is the availability of a sequence of observed values from the past whose temporal classi?cation permits the deduction of attributes necessary for forecasting purposes. The subject matter of this book is uncertain forecasting using time series and neural networks based on uncertain observed data. ‘Uncertain’ data - plies information exhibiting inaccuracy, uncertainty and questionability. The uncertainty of individual observations is modeled in this book by fuzziness. Sequences of uncertain observations hence constitute fuzzy time series. By means of new discretization techniques for uncertain data it is now possible to correctly and completely retain data uncertainty in forecasting work. The book presents numerical methods which permit successful forecasting not only in engineering but also in many other ?elds such as environmental science or economics, assuming of course that a suitable sequence of observed data is available. By taking account of data uncertainty, the indiscriminate reduction of uncertain observations to real numbers is avoided. The larger information content described by uncertainty is retained, and compared with real data, provides a deeper insight into causal relationships. This in turn has practical consequences as far as the full?lment of technical requirements in engineering applications is concerned.

By: Bernd Möller, Uwe Reuter
Imprint: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Country of Publication: Germany
Edition: 2007 ed.
Dimensions: Height: 235mm, Width: 155mm, Spine: 18mm
Weight: 488g
ISBN: 9783540371731
ISBN 10: 3540371737
Pages: 202
Publication Date: 21 August 2007
Audience: Professional and scholarly , Undergraduate
Format: Hardback
Publisher's Status: Active

Mathematical Description of Uncertain Data.- Analysis of Time Series Comprised of Uncertain Data.- Forecasting of Time Series Comprised of Uncertain Data.- Uncertain Forecasting in Engineering and Environmental Science.

Univ.-Prof. Dr.-Ing. habil. Bernd Moller (*1941) studied civil engineering. From 1994 -1996 he was professor for Numerical Methods and Computer Science in Engineering at the University of Braunschweig, and from 1996 - 2006 professor for Solid and Structural Mechanics at the University of Technology in Dresden, Germany. Professor Moller has been retired since 2006. Dr.-Ing. Uwe Reuter (*1979) studied civil engineering. From 2003 - 2007 he was research associate at the Institute of Statics and Dynamics of Structures at the University of Technology in Dresden, Germany. Today he is head of the Computing Center at the Faculty of Civil Engineering at the University of Technology in Dresden.

Reviews for Uncertainty Forecasting in Engineering

"From the reviews: ""The authors deal with a new and fascinating subject: forcasting the incertainty in civil engineering and environmental science. … the volume is a scientific monograph and represents a valuable contribution to the field. It is intended for civil engineers as well as to many professionals working in related fields."" (Petre P. Teodorescu, Zentralblatt MATH, Vol. 1131 (9), 2008)"