Uncertainty Analysis in Engineering and Sciences: Fuzzy Logic, Statistics, and Neural Network Approach
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Uncertainty Analysis in Engineering and Sciences: Fuzzy Logic, Statistics, and Neural Network Approach: (11 International Series in Intelligent Technologies)

Uncertainty Analysis in Engineering and Sciences: Fuzzy Logic, Statistics, and Neural Network Approach: (11 International Series in Intelligent Technologies)


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About the Book

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.

Table of Contents:
1. The Role of Constrained Fuzzy Arithmetic in Engineering.- 2. General Perspective on the Formalization of Uncertain Knowledge.- 3. Distributional Representations of Random Interval Measurements.- 4. A Fuzzy Morphology: a Logical Approach.- 5. Reliability Analysis with Fuzziness and Randomness.- 6. Fuzzy Signal Detection with Multiple Waveform Features.- 7. Uncertainty Modeling of Normal Vibrations.- 8. Modeling and Implementation of Fuzzy Time Point Reasoning in Microprocessor Systems.- 9. Model Learning with Bayesian Networks for Target Recognition.- 10. System Life Cycle Optimization Under Uncertainty.- 11. Valuation-Based Systems for Pavement Management Decision Making.- 12. Hybrid Least-Square Regression Analysis.- 13. Linear Regression with Random Fuzzy Numbers.- 14. Neural Net Solutions to Systems of Fuzzy Linear Equations.- 15. Fuzzy Logic: A Case Study in Performance Measurement.- 16. Fuzzy Genetic Algorithm Based Approach to Machine Learning Under Uncertainty.- 17. Recurrent Neuro-Fuzzy Models of Complex Systems.- 18. Adaptive Fuzzy Systems with Sinusoidal Membership Functions.- 19. A Computational Method for Fuzzy Optimization.- 20. Interaction of Fuzzy Knowledge Granules for Conjunctive Logic.- 21. Fuzzy Decision Processes with Expected Fuzzy Rewards.- 22. On the Computability of Possibilistic Reliability.- 23. Distributed Reasoning with Uncertain Data.- 24. A Fresh Perspective on Uncertainty Modeling: Uncertainty vs. Uncertainty Modeling.- About the Editors.


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Product Details
  • ISBN-13: 9780792380306
  • Publisher: Kluwer Academic Publishers
  • Publisher Imprint: Kluwer Academic Publishers
  • Height: 235 mm
  • No of Pages: 371
  • Returnable: Y
  • Width: 155 mm
  • ISBN-10: 0792380304
  • Publisher Date: 31 Oct 1997
  • Binding: Hardback
  • Language: English
  • Returnable: Y
  • Series Title: 11 International Series in Intelligent Technologies


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