Fuzzy Logic and Probability Applications
Bridging the Gap
£111.00
Part of ASA-SIAM Series on Statistics and Applied Probability
- Editors:
- Timothy J. Ross, University of New Mexico
- Jane M. Booker, Los Alamos National Laboratory
- W. Jerry Parkinson, Los Alamos National Laboratory
- 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
£
111.00
Hardback
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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.
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×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
Preface
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.
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