In Pursuit of Patterns in Data Reasoning from Data The Rough Set Way
TSCTC '02 Proceedings of the Third International Conference on Rough Sets and Current Trends in Computing
Generalized Decision Algorithms, Rough Inference Rules, and Flow Graphs
TSCTC '02 Proceedings of the Third International Conference on Rough Sets and Current Trends in Computing
Flows in Networks
Flow Graphs and Intelligent Data Analysis
Fundamenta Informaticae - Contagious Creativity - In Honor of the 80th Birthday of Professor Solomon Marcus
A Controller Design for the Khepera Robot: A Rough Set Approach
Fundamenta Informaticae - Concurrency Specification and Programming (CS&P 2004)
Inference and Reformation in Flow Graphs Using Granular Computing
RSEISP '07 Proceedings of the international conference on Rough Sets and Intelligent Systems Paradigms
Extended Pawlak's Flow Graphs and Information Theory
Transactions on Computational Science V
Discovering Concurrent Process Models in Data: A Rough Set Approach
RSFDGrC '09 Proceedings of the 12th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing
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
Mining rough association from text documents for web information gathering
Transactions on rough sets VII
Interpretation of extended Pawlak flow graphs using granular computing
Transactions on rough sets VIII
Research on rough set theory and applications in China
Transactions on rough sets VIII
An extension of pawlak's flow graphs
RSKT'06 Proceedings of the First international conference on Rough Sets and Knowledge Technology
Exploring the preference of customers between financial companies and agents based on TCA
Knowledge-Based Systems
An interpretation of flow graphs by granular computing
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
An efficient algorithm for inference in rough set flow graphs
Transactions on Rough Sets V
Flow Graphs and Intelligent Data Analysis
Fundamenta Informaticae - Contagious Creativity - In Honor of the 80th Birthday of Professor Solomon Marcus
A Controller Design for the Khepera Robot: A Rough Set Approach
Fundamenta Informaticae - Concurrency Specification and Programming (CS&P 2004)
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In this paper we introduce a new kind of flow networks, called flow graphs, different to that proposed by Ford and Fulkerson. Flow graphs are meant to be used as a mathematical tool to analysis of information flow in decision algorithms, in contrast to material flow optimization considered in classical flow network analysis. In the proposed approach branches of the flow graph are interpreted as decision rules, while the whole flow graph can be understood as a representation of decision algorithm. The information flow in flow graphs is governed by Bayes' rule, however, in our case, the rule does not have probabilistic meaning and is entirely deterministic. It describes simply information flow distribution in flow graphs. This property can be used to draw conclusions from data, without referring to its probabilistic structure.