Abstract
In the paper, we present an approach in which information flow over time is represented by rough set flow graphs. We assume that the underlying information consists of concepts embedded in ontologies representing knowledge of the domains under consideration. Moreover, the Rough Set Flow Graph Visualizer module, implemented as a part of the Classification and Prediction Software System (CLAPSS), is depicted. An example of using the module to model sample data containing sequential information about the educational paths and job careers of people is also discussed.
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Acknowledgements
This work was partially supported by the Centre for Innovation and Transfer of Natural Sciences and Engineering Knowledge of University of Rzeszów, Poland, the project RPPK.01.03.00-18-001/10.
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Pancerz, K., Sarzyński, J. (2023). Rough Set Flow Graphs for Information Systems over Ontological Graphs. In: Atanassov, K.T., et al. Uncertainty and Imprecision in Decision Making and Decision Support - New Advances, Challenges, and Perspectives. IWIFSGN BOS/SOR 2022 2022. Lecture Notes in Networks and Systems, vol 793. Springer, Cham. https://doi.org/10.1007/978-3-031-45069-3_9
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