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
Fuzzy Sets and Systems - Special issue: fuzzy sets: where do we stand? Where do we go?
Soft computing in case based reasoning
Soft computing in case based reasoning
Bioinformatics: the machine learning approach
Bioinformatics: the machine learning approach
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
Pattern Recognition with Fuzzy Objective Function Algorithms
Pattern Recognition with Fuzzy Objective Function Algorithms
Rough-Fuzzy Hybridization: A New Trend in Decision Making
Rough-Fuzzy Hybridization: A New Trend in Decision Making
Rough-Neuro-Computing: Techniques for Computing with Words
Rough-Neuro-Computing: Techniques for Computing with Words
Rough set methods in feature selection and recognition
Pattern Recognition Letters - Special issue: Rough sets, pattern recognition and data mining
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
Pattern Recognition Algorithms for Data Mining: Scalability, Knowledge Discovery, and Soft Granular Computing
Interval Set Clustering of Web Users with Rough K-Means
Journal of Intelligent Information Systems
Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques
Combining Feature Reduction and Case Selection in Building CBR Classifiers
IEEE Transactions on Knowledge and Data Engineering
Rough set Based Ensemble Classifier forWeb Page Classification
Fundamenta Informaticae
Rough-Fuzzy C-Medoids Algorithm and Selection of Bio-Basis for Amino Acid Sequence Analysis
IEEE Transactions on Knowledge and Data Engineering
Handbook of Granular Computing
Handbook of Granular Computing
Generalized rough sets, entropy, and image ambiguity measures
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on human computing
Histogram thresholding using fuzzy and rough measures of association error
IEEE Transactions on Image Processing
Classification of web services using tensor space model and rough ensemble classifier
ISMIS'08 Proceedings of the 17th international conference on Foundations of intelligent systems
Feature Selection Using f-Information Measures in Fuzzy Approximation Spaces
IEEE Transactions on Knowledge and Data Engineering
Evolutionary computation in bioinformatics: a review
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Rough–Fuzzy Collaborative Clustering
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Rough Set Based Generalized Fuzzy -Means Algorithm and Quantitative Indices
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Low-complexity fuzzy relational clustering algorithms for Web mining
IEEE Transactions on Fuzzy Systems
Knowledge-based fuzzy MLP for classification and rule generation
IEEE Transactions on Neural Networks
Rough fuzzy MLP: knowledge encoding and classification
IEEE Transactions on Neural Networks
Web mining in soft computing framework: relevance, state of the art and future directions
IEEE Transactions on Neural Networks
Preface: Rough sets and fuzzy sets in natural computing
Theoretical Computer Science
Fuzzy rough granular neural networks, fuzzy granules, and classification
Theoretical Computer Science
Information systems in modeling interactive computations on granules
Theoretical Computer Science
Rough-wavelet granular space and classification of multispectral remote sensing image
Applied Soft Computing
Fuzzy rough granular self organizing map
RSKT'11 Proceedings of the 6th international conference on Rough sets and knowledge technology
Title Natural computing: A problem solving paradigm with granular information processing
Applied Soft Computing
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The concept of computational theory of perceptions (CTP), its characteristics and the relation with fuzzy-granulation (f-granulation) are explained. Role of f-granulation in machine and human intelligence and its modeling through rough-fuzzy integration are discussed. The Significance of rough-fuzzy synergestic integration is highlighted through three examples, namely, rough-fuzzy case generation, rough-fuzzy c-means and rough-fuzzy c-medoids along with the role of fuzzy granular computation. Their superiority, in terms of performance and computation time, is illustrated for the tasks of case generation (mining) in large-scale case-based reasoning systems, segmenting brain MR images, and analyzing protein sequences. Different quantitative measures for rough-fuzzy clustering are explained. The effectiveness of rough sets in constructing an ensemble classifier is also illustrated in a part of the article along with its performance for web service classification. The article includes some of the existing results published elsewhere under different topics related to rough sets and attempts to integrate them with CTP in a unified framework providing a new direction of research.