SOFT COMPUTING PATTERN RECOGNITION, CASE GENERATION AND DATA MINING

Relevance of fuzzy logic, artificial neural networks, genetic algorithms and rough sets to pattern recognition and image processing problems is described through examples. Different integrations of these soft computing tools are illustrated. Evolutionary rough fuzzy network which is based on modular principle is explained, as an example of integrating all the four tools for efficient classification and rule generation, with its various characterstics. An example of rough-fuzzy case generation is also provided. Significance of soft computing approach in data mining and knowledge discovery is finally discussed along with the scope of future research.