A case-based apprentice that learns from fuzzy examples
Methodologies for intelligent systems, 5
Gradual inference rules in approximate reasoning
Information Sciences: an International Journal
Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control and Artificial Intelligence
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Case-Based Reasoning in Color Matching
ICCBR '97 Proceedings of the Second International Conference on Case-Based Reasoning Research and Development
Combining CBR and GA for Designing FPGAs
ICCIMA '99 Proceedings of the 3rd International Conference on Computational Intelligence and Multimedia Applications
Learning Feature Weights for Similarity Measures using Genetic Algorithms
INTSYS '98 Proceedings of the IEEE International Joint Symposia on Intelligence and Systems
ICTAI '00 Proceedings of the 12th IEEE International Conference on Tools with Artificial Intelligence
Soft computing in engineering design - A review
Advanced Engineering Informatics
eXiT*CBR: A framework for case-based medical diagnosis development and experimentation
Artificial Intelligence in Medicine
Using an ensemble of classifiers to audit a production classifier
MCS'05 Proceedings of the 6th international conference on Multiple Classifier Systems
Using ensembles of binary case-based reasoners
ICCBR'05 Proceedings of the 6th international conference on Case-Based Reasoning Research and Development
Selecting the best units in a fleet: performance prediction from equipment peers
ICCBR'05 Proceedings of the 6th international conference on Case-Based Reasoning Research and Development
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A generic Case-Based Reasoning tool has been designed, implemented, and successfully used in two distinct applications. SOFT-CBR can be applied to a wide range of decision problems, independent of the underlying input case data and output decision space. The tool supplements the traditional case base paradigm by incorporating Fuzzy Logic concepts in a flexible, extensible component-based architecture. An Evolutionary Algorithm has also been incorporated into SOFT-CBR to facilitate the optimization and maintenance of the system. SOFT-CBR relies on simple XML files for configuration, enabling its widespread use beyond the software development community. SOFT-CBR has been used in an automated insurance underwriting system and a gas turbine diagnosis system.