(2018-06-18) Chala, O.; Kharkiv National University of Radio Electronics
The article presents models of temporal
dependences for constructing probabilistic temporal rules in the
Markov Logical Networks. Such rules describe the relations
between the states of a control object and taking account the
possibility of integrating different approaches of management
according to the paradigm of “Enterprise 2.0” knowledge
sharing.
The proposed models define constraints and conditions for
changing the states of a control object, which allows predicting
possible variants of its behavior in relation to the current state
and providing decision support based on a choice of the most
likely variants.
