Skip to content
Register Sign in Wishlist
Fuzzy Logic and Probability Applications

Fuzzy Logic and Probability Applications
Bridging the Gap

Part of ASA-SIAM Series on Statistics and Applied Probability

  • Date Published: November 2002
  • availability: This item is not supplied by Cambridge University Press in your region. Please contact Soc for Industrial & Applied Mathematics for availability.
  • format: Hardback
  • isbn: 9780898715255


Add to wishlist

Looking for an inspection copy?

Please email to enquire about an inspection copy of this book

Product filter button
About the Authors
  • Probabilists and fuzzy enthusiasts tend to disagree about which philosophy is best and they rarely work together. As a result, textbooks usually suggest only one of these methods for problem solving, but not both. This book is an exception. The authors, investigators from both fields, have combined their talents to provide a practical guide showing that both fuzzy logic and probability have their place in the world of problem solving. They work together with mutual benefit for both disciplines, providing scientists and engineers with examples of and insight into the best tool for solving problems involving uncertainty. Fuzzy Logic and Probability Applications: Bridging the Gap makes an honest effort to show both the shortcomings and benefits of each technique, and even demonstrates useful combinations of the two. It provides clear descriptions of both fuzzy logic and probability, as well as the theoretical background, examples.

    Customer reviews

    Not yet reviewed

    Be the first to review

    Review was not posted due to profanity


    , create a review

    (If you're not , sign out)

    Please enter the right captcha value
    Please enter a star rating.
    Your review must be a minimum of 12 words.

    How do you rate this item?


    Product details

    • Date Published: November 2002
    • format: Hardback
    • isbn: 9780898715255
    • length: 429 pages
    • dimensions: 260 x 183 x 26 mm
    • weight: 0.983kg
    • availability: This item is not supplied by Cambridge University Press in your region. Please contact Soc for Industrial & Applied Mathematics for availability.
  • Table of Contents

    Section I. Fundamentals
    1. Introduction
    2. Fuzzy Set Theory, Fuzzy Logic, and Fuzzy Systems
    3. Probability Theory
    4. Bayesian Methods
    5. Considerations for Using Fuzzy Set Theory and Probability Theory
    6. Guidelines for Eliciting Expert Judgment as Probabilities or Fuzzy Logic
    Section II. Applications
    7. Image Enhancement. Probability Versus Fuzzy Expert Systems
    8. Engineering Process Control
    9. Structural Safety Analysis. A Combined Fuzzy and Probability Approach
    10. Aircraft Integrity and Reliability
    11. Auto Reliability Project
    12. Control Charts for Statistical Process Control
    13. Fault Tree Logic Models
    14. Uncertainty Distributions Using Fuzzy Logic
    15. Signal Validation Using Bayesian Belief Networks and Fuzzy Logic.

  • Editors

    Timothy J. Ross, University of New Mexico

    Jane M. Booker, Los Alamos National Laboratory

    W. Jerry Parkinson, Los Alamos National Laboratory

Sorry, this resource is locked

Please register or sign in to request access. If you are having problems accessing these resources please email

Register Sign in
Please note that this file is password protected. You will be asked to input your password on the next screen.

» Proceed

You are now leaving the Cambridge University Press website. Your eBook purchase and download will be completed by our partner Please see the permission section of the catalogue page for details of the print & copy limits on our eBooks.

Continue ×

Continue ×

Continue ×
warning icon

Turn stock notifications on?

You must be signed in to your Cambridge account to turn product stock notifications on or off.

Sign in Create a Cambridge account arrow icon

Find content that relates to you

Join us online

This site uses cookies to improve your experience. Read more Close

Are you sure you want to delete your account?

This cannot be undone.


Thank you for your feedback which will help us improve our service.

If you requested a response, we will make sure to get back to you shortly.

Please fill in the required fields in your feedback submission.