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

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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

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. Language: English
  • Brand: Unbranded
  • Kategori: Computer og internet
  • Format: Paperback
  • Forlag / Pladeselskab: Springer
  • Udgivelsesdato: 2012/10/26
  • Kunstner: Bilal M. Ayyub
  • Sprog: English
  • Antal sider: 371
  • Fruugo ID: 343652564-752833599
  • ISBN: 9781461375005

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