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

Aus der Reihe International Series in Intelligent Technologies
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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

26.10.2012

Herausgeber

Bilal M. Ayyub + weitere

Verlag

Springer Us

Seitenzahl

371

Maße (L/B/H)

23,5/15,5/2,2 cm

Gewicht

604 g

Auflage

Softcover reprint of the original 1st ed. 1998

Sprache

Englisch

ISBN

978-1-4613-7500-5

Beschreibung

Portrait

Madan M. Gupta is a professor in the Intelligent Systems Research Laboratory at the University of Saskatchewan, Canada. He received a BE from the Birla Institute of Technology and Science, Pilani, India, and a PhD from the University of Warwick, Canada. A Fellow of the IEEE and the SPIE, Professor Gupta has been awarded the Kaufmann Prize Gold Medal for Research in the field of fuzzy logic.

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

26.10.2012

Herausgeber

Verlag

Springer Us

Seitenzahl

371

Maße (L/B/H)

23,5/15,5/2,2 cm

Gewicht

604 g

Auflage

Softcover reprint of the original 1st ed. 1998

Sprache

Englisch

ISBN

978-1-4613-7500-5

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

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  • Produktbild: Uncertainty Analysis in Engineering and Sciences: Fuzzy Logic, Statistics, and Neural Network Approach
  • Produktbild: Uncertainty Analysis in Engineering and Sciences: Fuzzy Logic, Statistics, and Neural Network Approach
  • Foreword; H.-J. Zimmermann. Preface; B.M. Ayyub, M.M. Gupta. I: Uncertainty Types, Models, and Measures. 1. The Role of Constrained Fuzzy Arithmetic in Engineering; G.J. Klir. 2. General Perspective on the Formalization of Uncertain Knowledge; E. Umkehrer, K. Schill. 3. Distributional Representations of Random Interval Measurements; C. Joslyn. 4. A Fuzzy Morphology: A Logical Approach; B. de Baets. II: Applications to Engineering Systems. 5. Reliability Analysis with Fuzziness and Randomness; Ru-Jen Chao, B.M. Ayyub. 6. Fuzzy Signal Detection with Multiple Waveform Features; J.R. Boston. 7. Uncertainty Modeling of Normal Vibrations; M. Kudra. 8. Modeling and Implementation of Fuzzy Time Point Reasoning in Microprocessor Systems; S.M. Yuen, K.P. Lam. 9. Model Learning with Bayesian Networks for Target Recognition; Jun Liu, Kuo-Chu Chang. 10. System Life Cycle Optimization Under Uncertainty; O.A. Asbjornsen. 11. Valuation-Based Systems for Pavement Management Decision Making; N.O. Attoh-Okine. III: Fuzzy-Neuro Data Analysis and Forecasting. 12. Hybrid Least- Square Regression Analysis; Yun-Hsi O. Chang, B.M. Ayyub. 13. Linear Regression with Random Fuzzy Numbers; W. Näther, R. Körner. 14. Neural Net Solutions to Systems of Fuzzy Linear Equations; J.J. Buckley, et al. 15. Fuzzy Logic: A Case Study in Performance Measurement; S. Ammar, R. Wright. 16. Fuzzy Genetic Algorithm Based Approach to Machine Learning Under Uncertainty; I.B.Özyurt, L.O. Hall. IV: Fuzzy-Neuro Systems. 17. Recurrent Neuro-Fuzzy Models of Complex Systems; C. Işik, et al. 18. Adaptive Fuzzy Systems with Sinusoidal Membership Functions; Liang Jin, M.M. Gupta. V: Fuzzy Decision Making and Optimization. 19. A Computational Method for Fuzzy Optimization; W.A. Lodwick, K.D. Jamison. 20. Interaction of Fuzzy Knowledge Granules for Conjunctive Logic; T. Whalen. 21. Fuzzy Decision Processes with Expected Fuzzy Rewards; Y. Yoshida. 22. On the Computability of Possibilistic Reliability; B. Cappelle, E.E. Kerre. 23. Distributed Reasoning with Uncertain Data; K. Schill. 24. A Fresh Perspective on Uncertainty Modeling: Uncertainty vs. Uncertainty Modeling; H.-J. Zimmermann. Subject Index. About the Editors.