- Cover
- Title Page
- About the Author
- Preface to the Fourth Edition
- 1 Introduction
- The Case for Imprecision
- A Historical Perspective
- The Utility of Fuzzy Systems
- Limitations of Fuzzy Systems
- The Illusion: Ignoring Uncertainty and Accuracy
- Uncertainty and Information
- Fuzzy Sets and Membership
- Chance versus Fuzziness
- Intuition of Uncertainty: Fuzzy versus Probability
- Sets as Points in Hypercubes
- Summary
- References
- Problems
- 2 Classical Sets and Fuzzy Sets
- 3 Classical Relations and Fuzzy Relations
- 4 Properties of Membership Functions, Fuzzification, and Defuzzification
- 5 Logic and Fuzzy Systems
- 6 Historical Methods of Developing Membership Functions
- 7 Automated Methods for Fuzzy Systems
- 8 Fuzzy Systems Simulation
- 9 Decision Making with Fuzzy Information
- 10 Fuzzy Classification and Pattern Recognition
- Fuzzy Classification
- Classification by Equivalence Relations
- Cluster Analysis
- Cluster Validity
- c‐Means Clustering
- Hard c‐Means (HCM)
- Fuzzy c‐Means (FCM)
- Classification Metric
- Hardening the Fuzzy c‐Partition
- Similarity Relations from Clustering
- Fuzzy Pattern Recognition
- Single‐Sample Identification
- Multifeature Pattern Recognition
- Summary
- References
- Problems
- 11 Fuzzy Control Systems
- 12 Applications of Fuzzy Systems Using Miscellaneous Models
- 13 Monotone Measures
- Index
- End User License Agreement
FUZZY LOGIC WITH ENGINEERING APPLICATIONS
Fourth Edition
Timothy J. Ross
University of New Mexico, USA
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