| Some contributions by Zdzislaw Pawlak | p. 1 |
| Conflicts and negotations | p. 12 |
| Hierarchical machine learning - a learning methodology inspired by human intelligence | p. 28 |
| Rough-fuzzy granulation, rough entropy and image segmentation | p. 31 |
| Towards network autonomy | p. 32 |
| A roadmap from rough set theory to granular computing | p. 33 |
| Partition dependencies in hierarchies of probabilistic decision tables | p. 42 |
| Knowledge theory and artificial intelligence | p. 50 |
| Applications of knowledge technologies to sound and vision engineering | p. 57 |
| A rough set approach to data with missing attribute values | p. 58 |
| Cognitive neuroscience and Web intelligence | p. 68 |
| Cognitive informatics and contemporary mathematics for knowledge manipulation | p. 69 |
| Rough mereological reasoning in rough set theory : recent results and problems | p. 79 |
| Theoretical study of granular computing | p. 93 |
| Knowledge discovery by relation approximation : a rough set approach | p. 103 |
| Reduction-based approaches towards constructing galois (concept) lattices | p. 107 |
| A new discernibility matrix and function | p. 114 |
| The relationships between variable precision value and knowledge reduction based on variable precision rough sets model | p. 122 |
| On axiomatic characterization of approximation operators based on atomic boolean algebras | p. 129 |
| Rough set attribute reduction in decision systems | p. 135 |
| A new extension model of rough sets under incomplete information | p. 141 |
| Applying rough sets to data tables containing possibilistic information | p. 147 |
| Redundant data processing based on rough-fuzzy | p. 156 |
| Further study of the fuzzy reasoning based on propositional modal logic | p. 162 |
| The M-relative reduct problem | p. 170 |
| Rough contexts and rough-valued contexts | p. 176 |
| Combination entropy and combination granulation in incomplete information system | p. 184 |
| An extension of Pawlak's flow graphs | p. 191 |
| Rough sets and Brouwer-Zadeh lattices | p. 200 |
| Covering-based generalized rough fuzzy sets | p. 208 |
| Axiomatic systems of generalized rough sets | p. 216 |
| Rough-sets-based combustion status diagnosis | p. 222 |
| Research on system uncertainty measures based on rough set theory | p. 227 |
| Conflict analysis and information systems : a rough set approach | p. 233 |
| A novel discretizer for knowledge discovery approaches based on rough sets | p. 241 |
| Function S-rough sets and recognition of financial risk laws | p. 247 |
| Knowledge reduction in incomplete information systems based on dempster-shafer theory of evidence | p. 254 |
| Decision rules extraction strategy based on bit coded discernibility matrix | p. 262 |
| Attribute set dependence in apriori-like reduct computation | p. 268 |
| Some methodological remarks about categorical equivalences in the abstract approach to roughness - part I | p. 277 |
| Some methodological remarks about categorical equivalences in the abstract approach to roughness - part II | p. 284 |
| Lower bounds on minimal weight of partial reducts and partial decision rules | p. 290 |
| On reduct construction algorithms | p. 297 |
| Association reducts : boolean representation | p. 305 |
| Notes on rough sets and formal concepts | p. 313 |
| High dimension complex functions optimization using adaptive particle swarm optimizer | p. 321 |
| Adaptive velocity threshold particle swarm optimization | p. 327 |
| Relationship between inclusion measure and entropy of fuzzy sets | p. 333 |
| A general model for transforming vague sets into fuzzy sets | p. 341 |
| An iterative method for quasi-variational-like inclusions with fuzzy mappings | p. 349 |
| Application of granular computing in knowledge reduction | p. 357 |
| Advances in the quotient space theory and its applications | p. 363 |
| The measures relationships study of three soft rules based on granular computing | p. 371 |
| A generalized neural network architecture based on distributed signal processing | p. 377 |
| Worm harm prediction based on segment procedure neural networks | p. 383 |
| Accidental wow defect evaluation using sinusoidal analysis enhanced by artificial neural networks | p. 389 |
| A constructive algorithm for training heterogeneous neural network ensemble | p. 396 |
| Gene regulatory network construction using dynamic Bayesian network (DBN) with structure expectation maximization (SEM) | p. 402 |
| Mining biologically significant co-regulation patterns from microarray data | p. 408 |
| Fast algorithm for mining global frequent itemsets based on distributed database | p. 415 |
| A VPRSM based approach for inducing decision trees | p. 421 |
| Differential evolution fuzzy clustering algorithm based on kernel methods | p. 430 |
| Classification rule mining based on particle swarm optimization | p. 436 |
| A bottom-up distance-based index tree for metric space | p. 442 |
| Subsequence similarity search under time shifting | p. 450 |
| Developing a rule evaluation support method based on objective indices | p. 456 |
| Data dimension reduction using rough sets for support vector classifier | p. 462 |
| A comparison of three graph partitioning based methods for consensus clustering | p. 468 |
| Feature selection, rule extraction, and score model : making ATC competitive with SVM | p. 476 |
| Relevant attribute discovery in high dimensional data : application to breast cancer gene expressions | p. 482 |
| Credit risk evaluation with least square support vector machine | p. 490 |
| The research of sampling for mining frequent itemsets | p. 496 |
| ECPIA : an Email-centric personal intelligent assistant | p. 502 |
| A novel fuzzy C-means clustering algorithm | p. 510 |
| Document clustering based on modified artificial immune network | p. 516 |
| A novel approach to attribute reduction in concept lattices | p. 522 |
| Granule sets based bilevel decision model | p. 530 |
| An enhanced support vector machine model for intrusion detection | p. 538 |
| A modified K-means clustering with a density-sensitive distance metric | p. 544 |
| Swarm intelligent tuning of one-class [nu]-SVM parameters | p. 552 |
| A generalized competitive learning algorithm on Gaussian mixture with automatic model selection | p. 560 |
| The generalization performance of learning machine with NA dependent sequence | p. 568 |
| Using RS and SVM to detect new malicious executable codes | p. 574 |
| Applying PSO in finding useful features | p. 580 |
| Generalized T-norm and fractional "AND" operation model | p. 586 |
| Improved propositional extension rule | p. 592 |
| Web services-based digital library as a CSCL space using case-based reasoning | p. 598 |
| Using description logic to determine seniority among RB-RBAC authorization rules | p. 604 |
| The rough logic and roughness of logical theories | p. 610 |
| Research on multi-agent service bundle middleware for smart space | p. 618 |
| A customized architecture for integrating agent oriented methodologies | p. 626 |
| A new method for focused Crawler cross tunnel | p. 632 |
| Migration of the semantic Web technologies into E-learning knowledge management | p. 638 |
| Opponent learning for multi-agent system simulation | p. 643 |
| A video shot boundary detection algorithm based on feature tracking | p. 651 |
| Curvelet transform for image authentication | p. 659 |
| An image segmentation algorithm for densely packed rock fragments of uneven illumination | p. 665 |
| A new chaos-based encryption method for color image | p. 671 |
| Support vector machines based image interpolation correction scheme | p. 679 |
| Pavement distress image automatic classification based on DENSITY-based neural network | p. 685 |
| Towards fuzzy ontology handling vagueness of natural languages | p. 693 |
| Evoked potentials estimation in brain-computer interface using support vector machine | p. 701 |
| Intra-pulse modulation recognition of advanced radar emitter signals using intelligent recognition method | p. 707 |
| Multi-objective blind image fusion | p. 713 |
| The design of biopathway's modelling and simulation system based on petri net | p. 721 |
| Timed hierarchical object-oriented petri net-part I : basic concepts and reachability analysis | p. 727 |
| Approximate semantic query based on multi-agent systems | p. 735 |
| Swarm intelligent analysis of independent component and its application in fault detection and diagnosis | p. 742 |
| Using VPRS to mine the significance of risk factors in IT project management | p. 750 |
| Mining of MicroRNA expression data - a rough set approach | p. 758 |
| Classifying Email using variable precision rough set approach | p. 766 |
| Facial expression recognition based on rough set theory and SVM | p. 772 |
| Gene selection using rough set theory | p. 778 |
| Attribute reduction based expected outputs generation for statistical software testing | p. 786 |
| FADS : a fuzzy anomaly detection system | p. 792 |
| Gene selection using Gaussian kernel support vector machine based recursive feature elimination with adaptive kernel width strategy | p. 799 |
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