Coevolutionary fuzzy modeling /

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Bibliographic Details
Author / Creator:Pẽna Reyes, Carlos Andŕes.
Imprint:Berlin : Springer-Verlag, c2004.
Description:xiii, 129 p. : ill. (some col.) ; 24 cm.
Language:English
Series:Lecture notes in computer science ; 3204
Subject:
Format: E-Resource Print Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/5531143
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ISBN:3540229949
Notes:Includes bibliographical references.
Table of Contents:
  • 1. Introduction
  • 1.1. General Context
  • 1.1.1. Problem Description
  • 1.1.2. Proposed Solution
  • 1.1.3. Outline of the Book
  • 1.2. Fuzzy Systems
  • 1.2.1. Basic Notions of Fuzzy Sets and Fuzzy Logic
  • 1.2.2. Conditional Fuzzy Statements
  • 1.2.3. Fuzzy Inference
  • 1.2.4. Fuzzy Inference Systems
  • 1.3. Evolutionary Computation
  • 1.3.1. Genetic Algorithms
  • 1.3.2. Genetic Programming
  • 1.3.3. Evolution Strategies
  • 1.3.4. Evolutionary Programming
  • 1.3.5. Classifier Systems
  • 2. Evolutionary Fuzzy Modeling
  • 2.1. Fuzzy Modeling: The Art of Building Fuzzy Systems
  • 2.1.1. The Fuzzy Modeling Problem
  • 2.1.2. Approaches and Techniques
  • 2.2. Evolutionary Fuzzy Modeling
  • 2.2.1. Applying Evolution to Fuzzy Modeling
  • 2.2.2. Three Approaches to Behavior and Structure Learning
  • 2.3. Interpretability Considerations
  • 2.3.1. Semantic Criteria
  • 2.3.2. Syntactic Criteria
  • 2.3.3. Strategies to Satisfy Semantic and Syntactic Criteria
  • 2.4. Example: Medical Diagnosis
  • 2.4.1. The Wisconsin Breast Cancer Diagnosis (WBCD) Problem
  • 2.4.2. A Genetic-Fuzzy Approach to the WBCD Problem
  • 2.4.3. Results
  • 2.4.4. Diagnostic Confidence
  • 2.4.5. Further Experiments
  • 3. Coevolutionary Fuzzy Modeling
  • 3.1. Coevolutionary Computation
  • 3.2. Cooperative Coevolution
  • 3.2.1. Issues Addressed by Cooperative Coevolution
  • 3.2.2. Ancestral Work
  • 3.2.3. A General Model for Cooperative Coevolution
  • 3.3. Fuzzy CoCo
  • 3.3.1. The Algorithm
  • 3.3.2. Elitism
  • 3.3.3. Fitness Evaluation
  • 3.3.4. Interpretability Considerations
  • 3.3.5. Other Cooperative Coevolutionary Approaches to Fuzzy Modeling
  • 3.4. Application Example: The Iris Problem
  • 3.4.1. Fisher's Iris Data
  • 3.4.2. Application of Fuzzy CoCo to the Iris Problem
  • 3.4.3. Results
  • 3.5. Summary
  • 4. Breast Cancer Diagnosis by Fuzzy CoCo
  • 4.1. Breast-Biopsy Analysis: The WBCD Problem
  • 4.1.1. The Evolutionary Setup
  • 4.1.2. Results
  • 4.2. Mammography Interpretation: The COBRA System
  • 4.2.1. The Catalonia Mammography Database
  • 4.2.2. Proposed Solution: The COBRA System
  • 4.2.3. Fuzzy CoCo Setup
  • 4.2.4. Results
  • 5. Analyzing Fuzzy CoCo
  • 5.1. A Stepwise Guide to Applying Fuzzy CoCo
  • 5.2. Effects of Some Parameters on Performance
  • 5.2.1. Number of Rules
  • 5.2.2. Population Size
  • 5.2.3. Number of Cooperators
  • 5.2.4. Mutation Probability
  • 5.2.5. Elitism Rate
  • 5.2.6. Qualitative Relationships
  • 5.3. Consistency and Quality of Results
  • 5.4. Generality of the Designed Fuzzy Systems
  • 5.4.1. Generality of Fuzzy Rules
  • 5.4.2. Generality of the Systems Designed by Fuzzy CoCo
  • 5.5. Summary
  • 6. Extensions of the Methodology
  • 6.1. Island Fuzzy CoCo
  • 6.1.1. The Proposed Algorithm
  • 6.1.2. Preliminary Tests of Island Fuzzy CoCo
  • 6.2. Incremental Fuzzy CoCo
  • 6.2.1. The Proposed Algorithm
  • 6.2.2. Testing Incremental Fuzzy CoCo
  • 7. Conclusions and Future Work
  • 7.1. Summary
  • 7.2. Original Contributions
  • 7.3. Future Work
  • Bibliography