Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Set Flow Graphs and Max - * Fuzzy Relation Equations in State Prediction Problems
RSCTC '08 Proceedings of the 6th International Conference on Rough Sets and Current Trends in Computing
Entropy Measures of Flow Graphs with Applications to Decision Trees
RSKT '09 Proceedings of the 4th International Conference on Rough Sets and Knowledge Technology
Knowledge discovery by rough sets mathematical flow graphs and its extension
AIA '08 Proceedings of the 26th IASTED International Conference on Artificial Intelligence and Applications
Interpretation of extended Pawlak flow graphs using granular computing
Transactions on rough sets VIII
Decision trees and flow graphs
RSCTC'06 Proceedings of the 5th international conference on Rough Sets and Current Trends in Computing
RSFDGrC'05 Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part I
The computational complexity of inference using rough set flow graphs
RSFDGrC'05 Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part I
Transactions on Rough Sets III
Hi-index | 0.00 |
This paper concerns some aspects of mathematical flow graph based data analysis. In particular, taking a flow graph view on rough sets' categories and measures leads to a new methodology of inductively reasoning form data. This perspective shows interesting relationships and properties among rough set, flow graphs and inverse flow graphs. A possible car dealer application is outlined and discussed. Evidently, our new categories and measures assist and alleviate some limitations in flow graphs to discover new patterns and explanations.