Genetic programming II: automatic discovery of reusable programs
Genetic programming II: automatic discovery of reusable programs
Tolerance approximation spaces
Fundamenta Informaticae - Special issue: rough sets
Readings in agents
Rough mereological foundations for design, analysis, synthesis, and control in distributed systems
Information Sciences: an International Journal - From rough sets to soft computing
Rough set methods and applications: new developments in knowledge discovery in information systems
Rough set methods and applications: new developments in knowledge discovery in information systems
Rough mereology in information systems. A case study: qualitative spatial reasoning
Rough set methods and applications
Layered Learning in Multiagent Systems: A Winning Approach to Robotic Soccer
Layered Learning in Multiagent Systems: A Winning Approach to Robotic Soccer
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
Pattern Recognition and Neural Networks
Pattern Recognition and Neural Networks
Rough Sets in Knowledge Discovery 2: Applications, Case Studies, and Software Systems
Rough Sets in Knowledge Discovery 2: Applications, Case Studies, and Software Systems
Rough-Fuzzy Hybridization: A New Trend in Decision Making
Rough-Fuzzy Hybridization: A New Trend in Decision Making
Advances in Distributed and Parallel Knowledge Discovery
Advances in Distributed and Parallel Knowledge Discovery
Toward Intelligent Systems: Calculi of Information Granules
Proceedings of the Joint JSAI 2001 Workshop on New Frontiers in Artificial Intelligence
Extracting Patterns Using Information Granules: A Brief Introduction
Proceedings of the Joint JSAI 2001 Workshop on New Frontiers in Artificial Intelligence
Decomposition of Task Specification Problems
ISMIS '99 Proceedings of the 11th International Symposium on Foundations of Intelligent Systems
RSCTC '00 Revised Papers from the Second International Conference on Rough Sets and Current Trends in Computing
Granular Computing on Binary Relations
TSCTC '02 Proceedings of the Third International Conference on Rough Sets and Current Trends in Computing
Classifying Faults in High Voltage Power Systems: A Rough-Fuzzy Neural Computational Approach
RSFDGrC '99 Proceedings of the 7th International Workshop on New Directions in Rough Sets, Data Mining, and Granular-Soft Computing
Approximate Reasoning by Agents
CEEMAS '01 Revised Papers from the Second International Workshop of Central and Eastern Europe on Multi-Agent Systems: From Theory to Practice in Multi-Agent Systems
Information Granule Decomposition
Fundamenta Informaticae - Concurrency Specification and Programming (CS&P'2000)
Fuzzy logic = computing with words
IEEE Transactions on Fuzzy Systems
Towards an ontology of approximate reason
Fundamenta Informaticae
Toward Intelligent Systems: Calculi of Information Granules
Proceedings of the Joint JSAI 2001 Workshop on New Frontiers in Artificial Intelligence
Extracting Patterns Using Information Granules: A Brief Introduction
Proceedings of the Joint JSAI 2001 Workshop on New Frontiers in Artificial Intelligence
Rough Measures and Integrals: A Brief Introduction
Proceedings of the Joint JSAI 2001 Workshop on New Frontiers in Artificial Intelligence
Wireless Agent Guidance of Remote Mobile Robots: Rough Integral Approach to Sensor Signal Analysis
WI '01 Proceedings of the First Asia-Pacific Conference on Web Intelligence: Research and Development
Approximate Reasoning by Agents
CEEMAS '01 Revised Papers from the Second International Workshop of Central and Eastern Europe on Multi-Agent Systems: From Theory to Practice in Multi-Agent Systems
Possible Rough Ingredients of Concepts in Approximation Spaces
Fundamenta Informaticae - SPECIAL ISSUE ON CONCURRENCY SPECIFICATION AND PROGRAMMING (CS&P 2005) Ruciane-Nide, Poland, 28-30 September 2005
Hierarchical Classifiers for Complex Spatio-temporal Concepts
Transactions on Rough Sets IX
Visibility and Focus: An Extended Framework for Granular Reasoning
Proceedings of the 2005 conference on Advances in Logic Based Intelligent Systems: Selected Papers of LAPTEC 2005
Granular reasoning using zooming in & out: part 1. propositional reasoning
RSFDGrC'03 Proceedings of the 9th international conference on Rough sets, fuzzy sets, data mining, and granular computing
Approximation Spaces in Rough-Granular Computing
Fundamenta Informaticae - Understanding Computers' Intelligence Celebrating the 100th Volume of Fundamenta Informaticae in Honour of Helena Rasiowa
Approximations and classifiers
RSCTC'10 Proceedings of the 7th international conference on Rough sets and current trends in computing
A descriptive language based on granular computing: granular logic
RSFDGrC'11 Proceedings of the 13th international conference on Rough sets, fuzzy sets, data mining and granular computing
Approximations of functions: toward rough granular calculus
RSKT'11 Proceedings of the 6th international conference on Rough sets and knowledge technology
Modeling rough granular computing based on approximation spaces
Information Sciences: an International Journal
Granular logic with closeness relation "∼λ" and its reasoning
RSFDGrC'05 Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part I
Possible Rough Ingredients of Concepts in Approximation Spaces
Fundamenta Informaticae - SPECIAL ISSUE ON CONCURRENCY SPECIFICATION AND PROGRAMMING (CS&P 2005) Ruciane-Nide, Poland, 28-30 September 2005
Towards an Ontology of Approximate Reason
Fundamenta Informaticae - Concurrency Specification and Programming Workshop (CS&P'2001)
Artificial Intelligence Review
Concept Formation: Rough Sets and Scott Systems
Fundamenta Informaticae - To Andrzej Skowron on His 70th Birthday
| Hi-index | 0.00 |
We present an approach based on calculi of information granules as a basis for approximate reasoning in intelligent systems. Approximate reasoning schemes are defined by means of information granule construction schemes satisfying some robustness constraints. In distributed environments such schemes are extended to rough neural networks. Problems of learning in rough neural networks from experimental data and background knowledge are discussed. The approach is based on rough mereology.