Extensions of Dynamic Information Systems in State Prediction Problems: the First Study

Krzysztof Pancerz.

The paper is devoted to the application of extensions of dynamic information systems to state prediction problems. A dynamic information system can describe states of processes observed in a given system and transitions among them. If we extend a given dynamic information system by adding some new transitions among states which have not been observed yet, then we are interested in degrees of consistency of added transitions with the knowledge about transitions included in the original dynamic information system. Such information can be helpful in predicting possibility of appearing in the future transitions among states in the examined system. In the paper, we propose some approach how to compute a possibility factor of appearing new transitions among states.

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