Uncertainty Analysis in Engineering and Sciences: Fuzzy Logic, Statistics, and Neural Network Approach
Springer-Verlag New York Inc.
978-1-4613-7500-5 (ISBN)
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.
Reihe/Serie | International Series in Intelligent Technologies ; 11 |
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Zusatzinfo | XXIV, 371 p. |
Verlagsort | New York, NY |
Sprache | englisch |
Maße | 155 x 235 mm |
Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
Mathematik / Informatik ► Mathematik ► Allgemeines / Lexika | |
Mathematik / Informatik ► Mathematik ► Analysis | |
Mathematik / Informatik ► Mathematik ► Logik / Mengenlehre | |
Wirtschaft ► Betriebswirtschaft / Management | |
ISBN-10 | 1-4613-7500-2 / 1461375002 |
ISBN-13 | 978-1-4613-7500-5 / 9781461375005 |
Zustand | Neuware |
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