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Whys and Hows in Uncertainty Modelling

Probability, Fuzziness and Anti-Optimization

  • Conference proceedings
  • © 1999

Overview

Editors:
  1. Isaac Elishakoff

    1. Florida Atlantic University, USA

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Part of the book series: CISM International Centre for Mechanical Sciences (CISM, volume 388)

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Table of contents (6 papers)

  1. Front Matter

    Pages ii-viii
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  2. How to Utilize the Anti-Optimization Analysis to Treat Uncertainty in Seismic Excitation?

    • A. Baratta, G. Zuccaro
    Pages 1-61

  3. What are the Random and Fuzzy Sets and How to Use Them for Uncertainty Modelling in Engineering Systems?

    • A. Bernardini
    Pages 63-125

  4. What is Ellipsoidal Modelling and How to Use It for Control and State Estimation?

    • F. L. Chernousko
    Pages 127-188

  5. What is Differential Stochastic Calculus?

    • M. Di Paola
    Pages 189-262

  6. Are Probabilistic and Anti-Optimization Approaches Compatible?

    • I. Elishakoff
    Pages 263-355

  7. How to Develop and Utilize Numerical Algorithms with Automatic Result Verification?

    • U. Kulisch
    Pages 357-393
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Keywords

About this book

This book presents, as a single package, three semingly contradictory and often competitive approaches to deal with ever present uncertainty in science and engineering. The book describes, as a unique view, probabilistic, fuzzy sets based and antioptimization based approaches, in order to remedy the present "tower ob Babel” situation, in which researchers in competing fields do not communicate. Integrative approach will attract scientists and engineers alike and provide a strong impetus towards integrative, hybrid approaches.

Editors and Affiliations

  • Florida Atlantic University, USA

    Isaac Elishakoff

Bibliographic Information

  • Book Title: Whys and Hows in Uncertainty Modelling

  • Book Subtitle: Probability, Fuzziness and Anti-Optimization

  • Editors: Isaac Elishakoff

  • Series Title: CISM International Centre for Mechanical Sciences

  • DOI: https://doi.org/10.1007/978-3-7091-2501-4

  • Publisher: Springer Vienna

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag Wien 1999

  • Hardcover ISBN: 978-3-211-83155-7Published: 24 November 1999

  • Softcover ISBN: 978-3-7091-2503-8Published: 23 August 2014

  • eBook ISBN: 978-3-7091-2501-4Published: 04 May 2014

  • Series ISSN: 0254-1971

  • Series E-ISSN: 2309-3706

  • Edition Number: 1

  • Number of Pages: 393

  • Number of Illustrations: 27 b/w illustrations

  • Topics: Engineering, general

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