Whys and Hows in Uncertainty Modelling

Probability, Fuzziness and Anti-Optimization

  • Isaac Elishakoff

Part of the CISM Courses and Lectures book series (CISM, volume 388)

About these proceedings

Introduction

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.

Keywords

algorithms control engineer fuzziness fuzzy fuzzy sets modeling optimization research science uncertainty verification

Editors and affiliations

  • Isaac Elishakoff
    • 1
  1. 1.Florida Atlantic UniversityUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-7091-2501-4
  • Copyright Information CISM Udine 1999
  • Publisher Name Springer, Vienna
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-7091-2503-8
  • Online ISBN 978-3-7091-2501-4
  • Series Print ISSN 0254-1971
  • Series Online ISSN 2309-3706
  • About this book
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