Fuzzy sets, uncertainty, and information
Fuzzy sets, uncertainty, and information
Essentials of fuzzy modeling and control
Essentials of fuzzy modeling and control
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
RSFDGrC'05 Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part I
Variable precision fuzzy rough sets model in the analysis of process data
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
Extended Pawlak's Flow Graphs and Information Theory
Transactions on Computational Science V
Interpretation of extended Pawlak flow graphs using granular computing
Transactions on rough sets VIII
Novel matrix forms of rough set flow graphs with applications to data integration
Computers & Mathematics with Applications
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This paper is concerned with the issue of design and analysis of fuzzy decision systems, basing on recorded process data. A concept of fuzzy flow graphs is proposed to allow representation of decision tables with fuzzy attributes. Basic notions of the crisp flow graph approach are generalized. Satisfaction of flow graph properties, with respect to fuzzy connectives used in calculations, is taken into account. Alternative definitions of the path's certainty and strength are introduced. In an illustrative example a decision table with fuzzy attributes is analyzed and interpreted in terms of flow graphs.