Soft Computing in Case Based Reasoning

Preface.-1. A Tutorial on Case-Based Reasoning.-
Fuzzy Sets
2. On the Notion of Similarity in Case-Based Reasoning and Fuzzy Theory.-
3. Formalizing Case-Based Inference Using Fuzzy Rules.-
Artificial Neural Networks
4. Hybrid Approaches for Integrating Neural Networks and Case-Based Reasoning.-
5. Towards Integration of Memory Based Learning and Neural Networks.-
Genetic Algorithms
6. A Genetic Algorithm and a Growing Cell Structures Approach to Learning Case Retrieval Structures.-
7. An Architecture for Hybrid Creative Reasoning.-
8. Teacher: A Genetics-Based System for Learning and Generalizing Heuristics.-
Neuro-Fuzzy Computing
9. Fuzzy Logic-Based Neural Network for Case-Based Reasoning.-
10. Case-Based Systems: A Neuro-Fuzzy Method for Selecting Cases.-
11. Neural-Fuzzy Approach for Maintaining Case Bases.-
12. A Neuro-Fuzzy Methodology for Case Retrieval and an Object-Oriented Case-Schema for Structuring Case Bases and their Application to Fashion Footwear Design.-
Applications
13. Adaptation of Cases for Case-Based Forecasting with Neural Network Support.-
14. Armchair Mission to Mars: Using Case Based Reasoning and Fuzzy Logic to Simulate a Time Series Model of Astronaut Crew.-
15. Applications of Soft CBR at General Electric.

Sankar K. Pal, PhD, is a Distinguished Scientist and founding head of the Machine Intelligence Unit at the Indian Statistical Institute, Calcutta. Professor Pal holds several PhDs and is a Fellow of the IEEE and IAPR.