Integrating rules and connectionism for robust commonsense reasoning
Integrating rules and connectionism for robust commonsense reasoning
Fuzzy logic, neural networks, and soft computing
Communications of the ACM
Case-based reasoning
Soft computing in case based reasoning
Soft computing in case based reasoning
Soft Computing for Knowledge Discovery: Introducing Cartesian Granule Features
Soft Computing for Knowledge Discovery: Introducing Cartesian Granule Features
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough-Fuzzy Hybridization: A New Trend in Decision Making
Rough-Fuzzy Hybridization: A New Trend in Decision Making
Neuro-Fuzzy Pattern Recognition: Methods in Soft Computing
Neuro-Fuzzy Pattern Recognition: Methods in Soft Computing
Case Generation Using Rough Sets with Fuzzy Representation
IEEE Transactions on Knowledge and Data Engineering
Foundations of Soft Case-Based Reasoning
Foundations of Soft Case-Based Reasoning
Data mining in soft computing framework: a survey
IEEE Transactions on Neural Networks
Web mining in soft computing framework: relevance, state of the art and future directions
IEEE Transactions on Neural Networks
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Data mining and knowledge discovery is described from pattern recognition point of view along with the relevance of soft computing. Key features of the computational theory of perceptions (CTP) and its significance in pattern recognition and knowledge discovery problems are explained. Role of fuzzy-granulation (f-granulation) in machine and human intelligence, and its modeling through rough-fuzzy integration are discussed. Merits of fuzzy granular computation, in terms of performance and computation time, for the task of case generation in large scale case based reasoning systems are illustrated through examples.