MATLAB Case-Based Reasoning Source Code

This MATLAB source code demonstrates case-based reasoning (CBR) implementation, covering fundamental concepts and practical applications. The program implements key CBR components including case representation, similarity measurement algorithms, and retrieval mechanisms. Through this implementation, users can explore various CBR methodologies such as similarity-based algorithms using distance metrics (Euclidean, Manhattan) or rule-based approaches with conditional matching functions. The code structure allows examination of real-world CBR applications in medical diagnosis systems, engineering problem-solving scenarios, and financial decision support systems. Additionally, the modular design facilitates integration with other machine learning techniques - potential enhancements could include neural network-based similarity assessment or optimization algorithms for case adaptation. While this implementation serves as a foundational example, it provides extensible architecture for advanced CBR research, including hybrid intelligent systems that combine case-based reasoning with statistical learning methods to improve accuracy and computational efficiency.