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

Name: Uncertainty Analysis in Engineering and Sciences: Fuzzy Logic, Statistics, and Neural Network Approach
SKU: 2438072
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Hardback

Series:

International Series in Intelligent Technologies

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Description

This text examines the use of analytical tools developed for studying uncertainty analysis in engineering, control systems, and the sciences. It is the work of 38 contributors who have each written chapters on developed analytical methods - fuzzy logic, neural networks, simulation, and Bayesian techniques - and have applied them to uncertainty phenomena arising out of information and knowledge problems in the fields of engineering and the sciences. The book is divided into the following parts : part I reports the theoretical studies on uncertainty types, models and measures; part II reviews the applications of uncertain theoretical tools to engineering systems; part III describes the methodologies of fuzzy-neural data analysis and forecasting; part IV presents two chapters on fuzzy-neuro systems; and part V describes the methodologies for fuzzy decision making and optimization and their computational methods. The editors also provide a concluding chapter on uncertainty and uncertainty modelling.

Release date Australia

October 31st, 1997

Audiences

Postgraduate, Research & Scholarly
Professional & Vocational
Undergraduate

Contributors

Edited by Bilal M. Ayyub
Edited by Madan M. Gupta

Illustrations

XXIV, 371 p.

Pages

371

Series

International Series in Intelligent Technologies

Dimensions

156x234x22

ISBN-13

9780792380306

Product ID

2438072

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

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